Browse Topic: Environment

Items (43,001)
The high-speed rail network plays a crucial role in the development of the national economy and national defense, and assessing its resilience is of great significance for ensuring transportation safety and supporting emergency decision-making. To address the limitations of traditional complex network models in capturing multifaceted, higher-order interactions, this paper constructs a high-speed rail transport hypernetwork model based on hypergraph theory and evaluates the resilience of the high-speed rail transport hypernetwork from two dimensions: hypernetwork structure and hypernetwork function. By conducting experiments on the sequential failure of design nodes, this study compares the performance evolution and resilience boundaries of high-speed rail transport supernetworks under scenarios involving random and targeted attacks, thereby providing a theoretical basis for optimizing the resilience of high-speed rail transport networks. This study focuses on the high-speed rail network in the middle reaches of the Yangtze River and conducts an empirical analysis based on data from 1,085 high-speed rail services operating on October 22, 2025. The results indicate that structural resilience is superior to functional resilience, and that networks exhibit greater resilience against random attacks than against targeted attacks. A small number of core nodes handle the network’s primary functions; if they fail, network performance will decline significantly. Attacks based on betweenness centrality are the most destructive, while those based on sub-hypergraph centrality are relatively the least destructive. Hypergraph-based hypernetworks can effectively account for the operational relationships among high-speed trains, capture the association patterns between nodes, and provide a more accurate theoretical approach for modeling high-speed rail transport networks. This paper employs hypergraph theory to construct a hypernetwork of high-speed rail transportation, taking full account of the operational relationships among high-speed train services to enhance the accuracy of research on network resilience. This paper provides a theoretical framework for assessing and enhancing the resilience of high-speed rail networks and is of great significance for promoting the sustainable development of the railway sector.
Du, Hongwei, Tu, Min
The objective of this study is to examine the effects of wind-driven rain pressure loads on the structural reliability of low-rise buildings under extreme weather conditions. Pressure sensors, rain sensors, and wind measuring devices were installed on the surfaces of representative low-rise building samples. Load characteristics, including load magnitudes, distributions, and variation tendencies, were measured under different wind speeds, directions, and rain intensities over long periods, with correlation analysis carried out for all relevant parameters between loads and meteorological factors. A mechanical modeling framework was developed that takes into account uncertainty associated with wind-driven rain pressure loads, materials, and structural geometries. Failure probabilities and reliability indices were calculated for different critical structural components using reliability theory, with a focus on potential modes of failure and reliability deterioration due to fatigue. Based on the above investigation, optimal design guidelines were proposed, and their feasibility was confirmed by several engineering applications.
Zhang, Yutong
In April 2025, the International Maritime Organization (IMO) held the 83rd session of the Marine Environment Protection Committee (MEPC) in London, the United Kingdom. During this crucial meeting, extensive discussions and in-depth negotiations were carried out regarding the mid-term greenhouse gas (GHG) reduction measures under the newly proposed Net-Zero Framework (NZF). The NZF establishes a medium-term regulatory framework featuring a dual compliance structure consisting of basic and direct compliance. Its core components include the Greenhouse Gas Fuel Standard (GFS), the Greenhouse Gas Emissions Pricing (GEP), and Flexible Compliance (FC). Among these, the GFS is positioned as the core regulatory instrument, given that it directly governs the carbon intensity of marine fuels, thereby providing the foundational driver for the industry's transition towards zero or near-zero fuels and technologies (ZNZs). The implementation of this framework will systematically restructure the entire industrial chain of international shipping, including marine power system research and development, new-type ship design and construction, green fuel production, storage, supply, bunkering and certification, seafarers' professional training, as well as daily shipping operation and management. It will inevitably bring about profound and far-reaching impacts on the technological route, investment layout, operational mode, and competitive landscape of the global maritime industry. Against this background, this paper focuses on the NZF, systematically clarifying its formulation background, core institutional components, and practical operational mechanisms. Taking an 86K bulk carrier as the research object, this study carries out a detailed case analysis to reveal the actual challenges and response pathways for shipowners and operating enterprises under the new regulatory system. On this basis, this paper further proposes targeted coping strategies and practical reference suggestions for the shipping industry to adapt to and comply with the upcoming NZF requirements, so as to provide decision support for the sustainable and low-carbon development of the maritime sector.
Li, Zichao, Jian, Yanjun, Zhao, Jiawen, Fu, Xiaming, Dong, Lina, Lu, Chunhui
As global vehicle numbers rise, traffic accidents pose significant threats to life and property, with approximately 1.3 million casualties annually. To mitigate accidents, automotive Original Equipment Manufacturers and suppliers are prioritizing active safety technologies like the automatic emergency steering (AES) system, which proactively intervenes in vehicle dynamics to avoid collisions. The AES system, as an important component of active safety, lacks systematic testing and evaluation methods. We aim to conduct a more comprehensive and scientific pre-evaluation of the AES system, which realizes its functions through onboard sensors, decision control systems, and actuators. The environmental awareness system uses sensors such as a camera, millimeter wave radar, and laser radar to collect surrounding information. Based on the perceived data, the decision control system generates the optimal steering strategy through hazard identification and risk assessment. This study addresses these gaps by analyzing AES performance indices and existing regulations (e.g., UN R79, ISO 23375, IIHS, E-NCAP) to design a comprehensive test framework. Four high-coverage scenarios were developed: longitudinal scooter conflicts, vehicle cut-ins, pedestrian crossings, static cone bucket, and misoperation validation, ensuring evaluation under diverse conditions. It has important practical significance for improving China’s automotive safety technology level and reducing road traffic accident casualties. With the rapid development of autonomous driving technology, this research achievement will also provide technical support for the development of higher-level intelligent driving systems.
Shen, Liangyi, Gao, Zong, Kong, Lingming, Wang, Zhiyu, Zhang, Xiao
Metro noise barriers installed at ground level or on elevated tracks are required to be equipped with smoke extraction functionality to enhance visibility, mitigate fire propagation, and ensure a safer environment for metro passengers in the event of a fire. In this study, the velocity and pressure fields near one conventional smoke exhaust vent and two types of novel smoke-exhaustible sound absorbers during fire smoke extraction are analysed and compared by numerical simulation. The simulation results reveal the characteristics and changing trends of velocity and pressure distribution in the settling chamber and show that the regions characterized by the highest pressure and lowest velocity were situated in the top corners adjacent to the sidewalls of the settling chamber. The findings offer practical guidance for determining optimal placement of pressure difference measurement points in tests or simulations designed to evaluate the aerodynamic free area of various smoke exhaust openings.
Yin, Hang, Tan, Longfei, Han, Zheng
The global strategic imperatives of carbon dioxide emission reduction and carbon neutrality, together with the promotion of high-quality sustainable development, have led to a progressive decline in the reliance on fossil fuels across both commercial and passenger vehicle fleets. In response, a growing number of freight carriers are transitioning toward electric trucks as their primary delivery fleet. This study addresses the local container drayage problem with electric vehicles and conventional diesel vehicles, aiming to find out the gap between these two different types of vehicles within and outside the tractor-container separation mode. In this context, an electric tractor can be separated from the container during the process of (un)loading at customer nodes for the other tasks or recharging. This study also focuses on the different energy consumption rates of electric trucks under empty load, laden load, or separation mode to simulate a more realistic transportation scenario. Accordingly, a route planning and charging decision model for electric tractors is formulated with the objective of minimizing the total operation cost, including the fixed cost, energy cost, and labor cost. To efficiently solve this mathematical model, an adapted Clarke and Wright heuristic algorithm suitable for this problem is designed. We introduce the feasibility check functions for battery state and (un)loading time constraints into the adapted heuristic algorithm. Finally, a series of numerical experiments is conducted in real-world highway networks and transportation scenarios to assess the performance of the algorithm compared with Gurobi and to analyze the practicability of electric tractors for the separation mode under the influence of various objective terms.
Zhang, Yang, Xue, Zhaojie, You, Jintao, Dai, Xintong
With the acceleration of urbanization, passenger traffic on urban rail transit has proliferated rapidly, emerging as a significant source of urban energy consumption and impacting the efficient operation and sustainable development of urban rail transit systems. In the field of multi-train cooperative energy-saving operation for urban rail transit, previous research has faced two main challenges: First, studies often indirectly represent regenerative braking energy recovery rate through the overlap time of “traction-braking” phases, neglecting to account for intuitively demonstrating energy-saving effects. Second, research has predominantly centered on mathematical formulation and algorithmic development, neglecting practical engineering constraints and failing to adequately assess the viability of implementing operational plans in real-world scenarios. To bridge these identified gaps, this study fully integrates the characteristics of power supply sections with the spatiotemporal coupling of train operations. It analyzes the interaction scenarios of regenerative braking energy among all up- and down-bound trains within the same power supply zone that influence each other. Employing the spatiotemporal network modeling method, a three-dimensional space-time-speed grid network framework is constructed. The global train operation time and state are discretized, and the objective function is formulated to minimize the net energy consumption of train operations. A mixed-integer programming (MIP) model is developed subject to various constraints such as departure intervals, stop durations, safety tracking, and additional operational constraints. The resulting solution is an energy-optimized urban rail train timetable and operational diagram. Numerical experiments are conducted in engineering scenarios to verify the efficacy of this approach, thereby establishing a generalized framework for energy-saving optimization in actual urban rail transit lines. Two solution methods based on the constructed model are proposed for different engineering applications, ensuring safety, operational efficiency, and energy sustainability of urban rail transit operations.
Chen, Yuefeng, Lao, Ziyao, Jiang, Jiahui, Jiang, Yangsheng, Huang, Jingyang
This study suggests a unified evaluation framework to evaluate the adaptability of green design technologies for plateau railway initiatives. We build an evaluation system that looks at four areas: External Environmental, Resource & Environmental, Socio-environmental, and Technical Feasibility. This system is needed because of the unique problems that come with high altitude, hypoxia, and ecological fragility. A new method for combining weights based on Game Theory uses both subjective (Analytic Hierarchy Process (AHP) and objective (Entropy Weight, Grey Relational Analysis) inputs to find strong indicator weights. The final ranking is done using a TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) model that uses these weights. The results show that the system is very adaptable overall, with Technical Feasibility and Resource & Environmental Adaptability being the best. Subsystem analysis shows that the Labor-saving and Environmental Protection systems are the most flexible. The framework does a good job of finding specific technologies that need to be improved because they are not very adaptable. Boxplots, line charts, and heatmaps are examples of visualizations that can help you understand performance distribution and find areas for improvement. This study provides a pragmatic, scientifically validated decision-support instrument for the selection and enhancement of sustainable technologies in extreme-environment railway engineering.
Zhang, Chi, Yang, Xinfeng
Against the backdrop of the “dual-carbon” goals and the rapid development of urban cold chain logistics, electric logistics vehicles have been widely deployed due to their advantages of low emissions and low operating costs. However, their operational performance is still constrained by limited driving range, uncertain charging behavior, and fluctuations in time-of-use electricity prices. Charging strategy selection plays a critical role in determining distribution cost and system efficiency. To address the charging decision-making problem of electric logistics vehicles under time-of-use electricity pricing, this paper develops an optimization model with the objective of minimizing total charging cost. The model incorporates practical operational constraints, including vehicle load capacity, state of charge safety thresholds, and customer time windows. A genetic algorithm is employed to solve the model, and case studies based on the Solomon dataset are conducted to compare distribution routes and charging costs under partial charging and full charging strategies. The results show that the partial charging strategy enables flexible “on-demand charging”, effectively reducing charging volume and charging time, thereby lowering total charging cost. In contrast, the full charging strategy improves driving range reliability and ensures delivery continuity. The findings provide decision support for logistics enterprises to select appropriate charging strategies under time-of-use electricity pricing.
Zheng, Chaonan, Yan, Jun, Zhang, Wanxin, Hou, Zesong, Li, Bin
Both concrete guardrails and corrugated beam guardrails have certain wind resistance that can easily hinder wind speed in sections with severe wind-blown sand and snow. This can further cause sand and snow particles to accumulate on the road surface, thereby reducing the friction coefficient of the road surface and having adverse effects on the safety of operating road traffic. The study analyzed the formation mechanism of wind-blown sand and snow, analyzed the functional characteristics of guardrail structure, and explored the SB-level low wind resistance metal beam-post guardrail structure from the perspective of reducing wind resistance area and considering the characteristics of protective vehicles. The main conclusions are as follows: (1) In areas with high wind speed and abundant sand and snow, the roadbed guardrail will have a blocking effect on the wind due to its cross-sectional size, causing wind-blown sand and snow on the road surface. The low wind resistance guardrail can be adopted in key areas, and the metal beam-post guardrail type can be adopted. (2) Considering the types of vehicles protected by SB-level guardrails, the guardrail structure adopts the form of upper and lower beams, with the upper beam mainly protecting large vehicles (buses and trucks) and the lower beam protecting cars. (3) The connection type between beams and posts varies depending on the cross-sectional shape of the tube. Considering the low wind resistance characteristics and structural protection capabilities, circular pipe beams with good wind resistance and square pipe beams with better cross-sectional bending resistance can be used as a beam structure. Circular pipe beams are connected to posts using channel-shaped, while square pipe beams are connected to posts using C-shaped connectors.
Lu, Jian, Zheng, Ping, Jia, Ning, Zhang, Fei, Yao, Yao
To define the safe operation range of fireboats in ship fire rescue, this study uses the Fire Dynamics Simulator (FDS) software to simulate typical ship fires under windless and normal wind conditions. Key fire parameters—visibility, temperature, CO/CO2 concentrations, and smoke spread—are analyzed to assess their impacts on fireboat operations and identify optimal safe rescue distances for both scenarios. The results indicate that high temperatures, toxic gases, and smoke spread uniformly under windless conditions, allowing fireboats to maintain a stable, relatively close safe distance with minimal directional differences in safety margins. Under normal wind conditions, wind drives the directional spread of hazardous substances, requiring fireboats to adjust positions and maintain a greater safe leeward distance to avoid wind-borne risks. This study provides practical references for fireboat operations in ship fire rescue.
Li, Jinge, Wang, Biao, Li, Yunting, Wang, Honggui, Chen, Wen, Wang, Xinjian
This paper examines the corrosion of vehicle body metal panels and external chrome-plated components under typical climatic conditions. Specifically, we analyse the potential corrosion mechanisms and influencing factors, and propose protective and improvement measures. The research indicates that corrosion at the interface between body sheet metal and exterior chrome-plated parts is predominantly characterized by galvanic corrosion and crevice corrosion. These problems are caused by the potential difference between the materials, assembly gaps, moisture retention, and the influence of contaminants. The authors analyse climatic data from seven representative cities in eastern, southern, southwestern, northeastern, and northwestern China. The study reveals the synergistic effects of environmental factors (such as NO2, SO2, precipitation, temperature, and relative humidity) on metal corrosion. The results show that the static corrosion rate of carbon steel is higher in the southwestern, southern, and eastern coastal regions (reaching over 98 μm/a at maximum) and lower in the northeastern and northwestern regions (approximately 10 μm/a). Field investigations of more than ten vehicle models in eastern coastal cities of China have found that chrome-plated parts in areas such as engine compartment cover plates, window trims, and trunk lid panels are prone to corrosion due to structural interference, assembly-induced damage, and poor drainage performance. Consequently, the authors propose protection measures through optimizing Chromium plating processes, improving structural designs (e.g., adding sealing strips, designing rounded transitions, and increasing drainage gaps), and adjusting assembly methods (e.g., adopting adhesive bonding or encapsulated clips), which effectively reduce corrosion risks. Finally, the authors conduct professional tests to verify the corrosion resistance of vehicle chrome-plated parts. This paper provides a reference framework for enhancing the corrosion resistance of vehicle exterior components, offering crucial guidance for improving the overall aesthetic quality of vehicles and enhancing customer satisfaction.
Liu, Peng, Zhuang, Mengmeng, Chen, Junjie, Wang, Jiayu, Wu, Weixing, Ren, Kaixu, Wang, Wentao, Li, Yan
An SSS clutch is incorporated into the shaft system of the NCB steam turbine in the gas-steam combined cycle unit. The benefit of this specific design is that the shaft system of the NCB steam turbine can disengage from and engage with the LP rotor during operation, enabling rapid and flexible adjustment between power generation output and heat supply. However, this mode of operation presents some special vibration issues in the shaft system. Analysis of the shaft vibration fluctuations that occur in NCB steam turbines before and after operating mode transitions indicates that this issue arises because the random engagement position of the SSS clutch induces changes in the shaft train’s balance and alignment conditions. Based on the measurement principle of shaft vibration phase and the dual keyphasor measurement system of NCB steam turbines, this paper proposes a novel methodology for determining the optimal engagement position of SSS clutches. This approach establishes quantitative correlations between shaft vibration characteristics and clutch engagement positioning, thereby enabling precise identification of the optimal engagement configuration. The research conclusions provide operational guidance for power plants to optimize shaft vibration in NCB steam turbines.
Song, Tongtong, Song, Yajun, Zhang, Wei, Si, Paiyou, Gao, Yibo
In response to the challenges of autonomous obstacle detection and landing site selection during the soft-landing approach phase of the Chang'e probes, this paper proposes a method based on Fractal Brownian Motion (FBM) for local lunar terrain reconstruction and obstacle identification. Using passive optical imagery and incorporating statistical models of crater morphology and distribution, the method approximates the 3D structure of candidate landing areas and estimates local slopes. Combined with texture analysis (TA) via K-means clustering evaluated by silhouette coefficients, and by integrating slope and roughness metrics, feasible landing zones are autonomously identified. Simulation results demonstrate that the proposed approach can rapidly reconstruct terrain and select suitable landing areas, showing good mission adaptability.
Zhu, Hanxi, Wu, Peng, Wu, He, Li, Yixiu, Tang, Weipeng, Deng, Yanpeng
Complex terrain imposes highly nonlinear constraints on multi-UAV cooperative path planning. It also leads to path redundancy and inefficient information sharing among UAVs. To address these issues, this paper proposes a cooperative path-planning method based on an improved Dung Beetle Optimizer (DBO) under dynamic constraints. First, a multi-objective path optimization model is constructed. The model considers detection efficiency, path smoothness, obstacle-avoidance cost, and energy consumption. State-space equations are introduced to constrain the path generation process. This ensures that the planned paths satisfy UAV dynamic constraints and remain feasible for control implementation. Second, to reduce the risk of premature convergence in the standard DBO, the Latin hypercube sampling-Orchestrated Dung Beetle Optimizer (LO-DBO) is proposed. Latin hypercube sampling is used to generate a uniformly distributed initial population in the solution space, thereby enhancing the diversity of the initial population. A dynamic convergence factor is then introduced to balance global exploration in the early stage and local exploitation in the later stage. In addition, a cooperative search mechanism is designed to help individuals escape local optima and improve the algorithm’s global search capability. Experiments on CEC2017 benchmark functions and multi-UAV cooperative path-planning scenarios show that LO-DBO achieves higher convergence accuracy, better solution quality, and greater planning efficiency than several representative optimization algorithms. Compared with other improved DBO, LO-DBO can coordinate multi-UAV resources more effectively. It also enables safe obstacle avoidance and efficient full-coverage inspection operations in complex terrain scenarios.
Wu, Binglin, Song, Yifei, Zhu, Chunhua, Li, Ning
In recent years, global automotive manufacturers have been steadfastly engaged in the pursuit of advanced technical solutions to address the increasingly stringent noise pollution standards mandated by national and international regulatory authorities for their domestic and export markets respectively. Aligned with this overarching objective, the Engine Design and Development team at Maruti Suzuki India Limited (MSIL) has undertaken focused efforts to reduce powertrain-induced noise and vibration (NV). Recognizing that the engine unit’s principal static subsystems, namely the intake and exhaust assemblies and critical structural components such as the cylinder head (CH) and cylinder block (CB), serve as primary sources of acoustic emissions, special emphasis was placed on their refinement. Additionally, particular attention was directed toward the engine’s rotating and reciprocating components, especially the camshaft and crankshaft assemblies, to minimize overall measured sound pressure levels.
Singh, Amandeep, Singh, Jaspreet, Kumar, Narinder
As the global automotive industry increasingly prioritizes electrification and long-term sustainability, the demand for aggressive lightweighting in automotive chassis engineering has intensified. This study presents a process-driven, multi-stage structural optimization workflow designed to maximize total mass reduction while maintaining rigorous structural performance. To mitigate the high computational costs and software license overhead of nonlinear Finite Element (FE) analysis, the methodology transforms complex models into efficient linear representations. This strategic shift preserves critical structural behaviors while significantly enhancing license efficiency and total computational simulation throughput. The novelty of this workflow lies in an integrated optimization loop that begins with Topology Optimization to define primary load paths, followed by Free Shape Optimization to mitigate stress concentrations. By embedding manufacturing constraints such as draft angles and minimum thickness directly into the optimization process, the methodology effectively eliminates traditional redesign cycles. Optimized designs are then seamlessly translated into CAD via advanced ANSA tools for validation of von Mises stress, plastic strain, and buckling. This synchronized transition from analysis to realization reduced the development cycle by 50%, enabling a design freeze significantly faster than conventional methods. The integrated approach achieved a 15% mass reduction while meeting all functional durability and crash requirements. Given that a 1% reduction in mass correlates directly to a 1% reduction in CO2 emissions, the resulting design substantially minimizes the vehicle's total carbon footprint. By lowering material consumption and maximizing computational efficiency, this study offers a repeatable solution for balancing simulation fidelity with the urgent demands of modern sustainable automotive design.
Venkataraman, Nageswaran, Rajendran, Hariprasad, Karimbedu, Saikumar, Yadav, Balwan
Autonomous Emergency Braking (AEB) is a safety-critical Advanced Driver Assistance System now mandated for commercial vehicles in India.to reduce crash frequency and severity. This paper presents a structured, simulation-based V&V approach for camera-based AEB that integrates TTC braking evaluation, Forward Collision Warning assessment, and real-time object detection validation. High-fidelity tools Hexagon VTD & ROD, and MATLAB Roadrunner are employed to generate photorealistic, India-specific scenarios capable of modelling detailed road geometry, marked and unmarked lanes, mixed traffic behavior, and diverse environmental and weather conditions. Scenario-driven testing enables frame-accurate, end-to-end assessment of detection, decision-making, and actuation without requiring access to internal algorithms (black-box validation). Across representative scenarios, the test campaign achieved up to 90% accuracy in detecting relevant targets. This validation aligns with AIS & MoRTH guidance, and adheres to UN Regulation (UN R131), while incorporating applicable ISO 26262 functional safety principles. Requirement traceability matrices are used to evaluate system behavior under sensor degradation, misclassification, and other critical edge-case conditions prevalent in Indian driving environments. The proposed methodology enables consistent, repeatable, and regulation aligned validation of camera based AEB systems, supporting safer and more reliable commercial vehicle deployment in India.
S., Nagabhushana N., P., Gururaaj, M. L., Sankar
SAE TOMORROW TODAY - Balancing Innovation and Safety on America's Roads1359211/5/2026
What does it take to make our roads safer while still paving the way for AVs? Listen in as we sit down with Jonathan Morrison, Administrator of the National Highway Traffic Safety Administration (NHTSA), to discuss the agency's approach to roadway safety, AV regulation, and the future of mobility. Want to continue the conversation and hear directly from Jonathan Morrison? Join us at SAE International's Government/Industry Meeting on January 20, 2027, at 12:30 p.m. ET, where he'll moderate a fireside chat with industry leaders on how evolving regulations are shaping product planning, investment decisions, and vehicle affordability. Register now and secure a separate ticket for the lunch and fireside chat. From modernizing outdated regulations to advancing crash test technology, you'll learn how NHTSA is balancing innovation with accountability. The conversation also explores how the A2SCEND Consortium is helping establish safety standards for autonomous vehicles to support their commercialization and build public trust. Beyond autonomous driving, Morrison discusses efforts to reduce traffic fatalities by addressing distracted driving, impaired driving, and seatbelt use. He also examines how updated fuel economy standards could improve vehicle affordability and how next-generation crash test dummies could improve occupant protection. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we discuss emerging technology and trends in mobility with the leaders, innovators and strategists making it all happen--and give us a review on your preferred podcasting platform. Follow SAE on LinkedIn, Instagram, Facebook, X, and YouTube. Follow host Grayson Brulte on LinkedIn, X, and Instagram.
Patterson, Lori
Aiming at the engineering problems of easy cracking and insufficient impact resistance of traditional airport concrete pavement under complex dynamic loads, this paper studies the application of functionally graded carbon fiber reinforced polymer ( FG-CFRP) in airport pavement. Based on the modified Halpin-Tsai model and the first-order shear deformation theory, the dynamic finite element control equation is established. Based on the COMSOL Multiphysics platform, the modal characteristics and transient impact response analysis are carried out, and the dynamic response of the aircraft under moving wheel load is simulated. The static bending test of FG- CFRP plate samples made in the laboratory was carried out, and the numerical model was calibrated. The relative error of test-simulation was controlled within 5 %, which verified the accuracy of predicting static response. The carbon fiber volume fraction gradient curve was parametrically studied to reveal the sensitivity of the gradient to impact and stress reduction. The key engineering factors such as long-term environmental durability and life cycle cost of FG-CFRP pavement are discussed, and targeted improvement and optimization strategies are proposed. The results show that the fundamental frequency of the gradient plate is about 1.93 % lower than that of the homogeneous plate, and the vibration mode characteristics are highly consistent. The peak displacement of transient impact is reduced by 9.4 %. Under the action of moving wheel load, the peak Von Mises stress decreased from 5.32 MPa to 2.15 MPa, with a decrease of 60 %. The gradient design realizes efficient load diffusion and impact hardening through the surface high modulus layer, and the gradual change of interlayer wave impedance promotes the dissipation of stress wave, which significantly improves the safety reserve and dynamic stability of pavement structure. This study verifies the application feasibility of FG-CFRP in high-performance airport pavement engineering, and provides innovative material solutions and theoretical support for the development of a new generation of long-life and high-reliability airport pavement.
Li, Zhenyue
In transportation infrastructure constructed in mountainous and rocky regions, such as highway slopes, railway cuttings, bridge abutments, and tunnel portal slopes, uplift-resistant anchorage systems are widely required to ensure structural stability and service safety. To support anchorage design in such conditions, this study investigates the uplift bearing behavior, load-transfer mechanism, and key design parameters of pressure-type rock anchors in weathered rock strata through a combined field-and-numerical approach. A rock anchorage project in mountainous terrain in Shaoxing, Zhejiang Province, China, was adopted as the prototype case, and two representative anchors installed in strongly weathered and moderately weathered tuffaceous sandstone were selected for field pullout testing and three- dimensional finite element simulation. The failure characteristics, uplift load–displacement response, axial strain distribution of the grout body, and the effects of anchorage length and rock-socketed length were systematically examined. The results show that pressure- type rock anchors exhibit favorable uplift resistance in weathered rock strata. No overall pullout failure occurred during the tests, and no obvious cracking or significant ground deformation was observed. The uplift load–displacement curves exhibited a pronounced steep- transition pattern, and the axial strain of the grout body was mainly concentrated near the bearing plate and attenuated upward along the anchorage section. When the anchorage section extended into the moderately weathered rock stratum, strain attenuation became faster and interfacial load transfer became more efficient. Parametric analysis further indicates that the uplift bearing capacity increases approximately linearly with anchorage length before a critical anchorage length is reached, whereas the increase becomes much less significant beyond about 8 m. In addition, a proper increase in rock- socketed length can significantly improve the uplift bearing capacity. The findings provide useful reference for the design and optimization of uplift-resistant anchorage systems in transportation infrastructure founded in layered weathered rock.
Feng, Bing, Li, Panfeng, Zhou, Ji’an, Lv, Qing
For the single-screw extrusion process of solid propellant, the geometric optimization of the homogenization section faces a core problem: the high coupling between pressure establishment, material transport and energy consumption, and it is difficult to achieve a balance between different performance indicators by traditional empirical methods. Therefore, a numerical optimization framework combining CFD simulation and genetic algorithm is constructed to systematically explore the optimal screw geometric configuration. Propellant slurries are regarded as non-Newtonian fluids and are described by the Arrhenius temperature-dependent Bird-Carreau model, on which the flow field, pressure field and temperature field are solved. The key geometric parameters such as outlet core diameter, pitch, front and rear wedge angle, and thread width are selected as the optimization variables, and the ratio of pump power to shaft power is used as the objective function of energy efficiency to measure the degree of mechanical energy conversion into effective pressure work, and thermal safety constraints are introduced to control the upper limit of propellant temperature. The optimization results show that compared with the initial configuration, the volume flow rate is increased by 123% and the energy efficiency is only slightly reduced under the premise of maintaining a stable pressure drop. The flow field analysis shows that the optimized structure enhances the resistance-led conveying capacity and effectively inhibits the backflow phenomenon. Further analysis shows that the design with a larger pitch and narrower thread can reduce energy consumption while increasing the output, but its pressure accumulation ability is significantly weakened, revealing the inherent trade-off between screw geometry and pressure generation, conveying efficiency and energy consumption. The resulting optimized configuration achieves a good balance between multiple properties, which provides a theoretical reference for the continuous extrusion process of high-performance solid propellants.
Tang, Zhuang, Jiang, Ye, Mei, Mei, Wu, Wei-Tao
Exhaust gas temperature (EGT) is one of the key parameters for evaluating the thermal state of an aero-engine during flight operations. Precise EGT predictions are important in both managing engine health and optimizing performance. However, the nonlinear interactions among multiple operating parameters pose challenges for conventional prediction methods. An approach to EGT prediction presented in this paper is based on the iTransformer architecture. Unlike conventional time-series models that process temporal observations as tokens, this algorithm works with every single variable like a unique token and encodes the entire historical sequence of each variable. This design enables the model to capture inter-variable dependencies directly, thus increasing its power to capture multivariate time series. Two different datasets were used to validate the proposed approach and compared to various commonly used prediction models. The results indicate that iTransformer gives smaller prediction errors when the same conditions are met with MAE values of 0.5525°R and 0.4539K both on the two datasets. Despite the overall satisfactory performance, some prediction mismatches can be observed under extreme fast changing conditions of the engine operation. These results demonstrate that the proposed method can effectively characterize the complex interactions among engine variables and has potential for practical EGT prediction applications.
Hao, Mengfu, He, Yongbo, Li, Yifan
Long-term orbital missions require highly independent life-support systems, maintaining ecological stability under limited external support and subsystem attenuation. Conventional strategies are typically based on fixed threshold rules or deterministic mass-balance models and cannot adapt to disturbances or multi-objective trade-offs between resource safety and environmental load. This paper proposes a reinforcement learning framework for managing micro closed-loop ecological systems under reliability decay and environmental constraints. A reinforcement learning controller based on Proximal Policy Optimization (PPO) is trained to learn stable regulation policies with random disturbances. A dynamic state model is constructed to describe the coupled and time-sequential elements, ranging from water storage, oxygen concentration, energy reserve, subsystem reliability to ecological load. Degradation propagation is integrated into the transition dynamics through reliability-dependent recycling efficiency. Simulation experiments demonstrate that the proposed policy maintains all resource variables within the safety margins while reducing ecological imbalance compared with traditional strategies. Consequently, the proposed framework provides an expandable control architecture for independent regulation of space station life-support systems.
Zhang, Heyang, Wu, Meixin, Xie, Junze
To investigate the effect of negative pressure environment on the aging behavior of solid propellants, a 60-day negative pressure accelerated aging test was carried out on SG-2 propellant with five working conditions: atmospheric pressure at room temperature, atmospheric pressure at 80°C, and negative pressure at 40°C/60°C/80°C. Combined with Fourier transform infrared spectroscopy (FTIR) and differential scanning calorimetry (DSC), the functional group evolution law and thermal decomposition kinetic characteristics of the periphery zone and core zone of the propellant were analyzed. The results show that the propellant exhibits significant inhomogeneous aging characteristics under negative pressure aging. The functional group structure in the periphery zone is more stable in the early aging stage; in the middle stage, components such as DNT and C2 in the core zone migrate to the periphery zone; in the late stage, the undegraded components in the core zone continuously supplement the periphery zone, making the functional group integrity of the periphery zone better than that of the core zone. DSC tests combined with Kissinger and Ozawa methods show that the thermal decomposition activation energy of the propellant decreases continuously with the increase of aging temperature under negative pressure environment, and the activation energy drops to 428.91 kJ/mol after aging at negative pressure 80°C. High temperature accelerates the volatilization of NG, the cross- linking of NC molecular chains and the consumption of stabilizer, leading to the easy breakage of O-NO₂ groups and the significant deterioration of thermal stability. This study clarifies that the aging mechanism of the propellant under negative pressure environment is the synergistic effect of component migration and diffusion, functional group decomposition and molecular chain cross-linking, which provides a theoretical basis for the storage and application of solid propellants in negative pressure service scenarios such as deep space exploration.
Gao, Peizhe, Deng, Hanyu, Tang, Yuqing, Yuan, Yichao, Shen, Nianyu
With the rapid development of information technology, electronic devices in aerospace, data centers and other fields have faced increasingly severe thermal runaway issues. Two-phase heat transfer technology, with its superior heat dissipation performance, has attracted growing attention and research. A test rig was established to investigate the flow boiling characteristics of R134A within rectangular enhanced flow channels. The test conditions are listed below: heat load ranging from 100W to 3000W, vapor quality from 0.05 to 0.7, and flow rate from 5 L/h to 240 L/h. The results indicate: With the increase of inlet flow rate, The phase change pressure drop gradually increases within the rectangular enhanced flow channels. Similarly, the relationship holds true for phase change pressure drop and cold plate heat load, showing a distinct linear relationship. Under constant heat load, the phase change flow resistance within rectangular enhanced flow channels gradually decreases with increasing the vapor quality. The pressure drop changes dramatically when the vapor quality is below 0.3 and becomes significantly more gradual when the vapor quality exceeds 0.4. Under the test conditions, the maximum density of heat flux is approximately 230 W/cm^2, corresponding to a maximum temperature rise of about 22°C in the heating unit. The equivalent maximum two-phase heat transfer coefficient exceeds 12,000 W/(m^2K). When the cold plate outlet vapor quality is between 0.4 and 0.7, the flow resistance within the rectangular enhanced flow channels is relatively low, and the cooling performance is relatively high. It is recommended that two phase system should be designed within this vapor quality range.
Shao, Yawei, Li, Benke, Li, Li, Qian, Jiyu, Wei, Tao
Stringent environmental noise regulations in India, specifically the transition to IS 3028:2023 (Part 2), have established revised pass-by noise (PBN) limits for commercial vehicles ranging from 74 dB(A) to 75 dB(A) based on gross vehicle weight (GVW) and engine power. Unlike passenger cars, heavy commercial vehicles (HCVs) are primarily driven by diesel engines where powertrain-induced vibration and cooling fan engagement significantly impact exterior noise levels. This study investigates the “worst-case” configuration within a commercial fleet, typically characterized by high gear ratios or unladen drive-away chassis that experience high acceleration rates. To solve this challenge in a cost-effective manner, a practical and low-cost approach was taken in this study: Smart Shielding Instead of Vehicle Hardware Changes: Instead of expensive engine/transmission or axle redesigns, simple noise shields were added having sufficient noise absorption capabilities made of basic sound-absorbing foam. By placing these “acoustic blankets” below or around the gearbox, engine block, or wheel arch, the noise was blocked at the source before it could reach the test microphones. The “Tape and Foam” Strategy: A simple method called masking was used in this study. By temporarily covering parts of the vehicle with a sound-absorbing shield one by one, it could be pinpointed exactly which part was the loudest—like a noisy intake or a vibrating exhaust—without needing costlier lab equipment. Economical Testing: High-end sensors were swapped with standard handheld sound-level meters and basic global positioning system (GPS) units to track speed and revolutions per minute (RPM) of the engine. Simplified instrumentation and software were used to analyze the frequency pattern generated during the test and thereby reduce the noise from affected components. Otherwise, costlier radar-based instrumentation is required for the evaluation of this revised PBN testing. Many test iterations have been performed on the test track to find the best shield placement before going for the final, official certification. Worst-Case Identification: To arrive at the worst-case vehicle, multiple vehicles having different lengths and drivelines were tested. The worst case was identified as having the maximum noise contribution during the testing for analysis. This paper emphasizes simplified techniques to bring noise to the specified limit values as per the revised noise standard.
Gupta, Mohit
In Earth-Moon low-energy transfers, the strict geometric constraints among the Sun, Earth, and Moon often complicate trajectory redesign when the original transfer window is missed. To address this issue, this paper presents a nominal-trajectory-based reconstruction method for Earth-Moon low-energy transfers. Using the original mission trajectory as the reference, the method fixes the middle arc and performs segmented reconstruction that combines position targeting with velocity matching, so that only the escape and lunar insertion phases are locally corrected. This approach enables rapid trajectory reconstruction, efficient search for feasible launch windows, and evaluation of the corresponding velocity increment. Following this strategy, the existence and distribution of feasible solutions are examined on the hour, day, month, and year timescales. Simulation results show that feasible transfer windows with relatively low cost still exist within approximately four to six hours before or after the nominal window. Once the departure time shifts by one day, the total velocity increment rises sharply, and local reconstruction is no longer engineering-feasible. After waiting for about one synodic month, feasible windows reappear, and the required velocity increment falls back within the 200 m/s threshold. Within a one-year range around the nominal epoch, the feasible windows exhibit an overall periodic pattern that repeats approximately every 27 days. The proposed method provides a reference for trajectory reconstruction after a missed transfer window.
Wang, Yuxia, Li, Xiangyu, Zhou, Xingyu, Wang, Shen
The deployment of multi-link ground station networks for geostationary space-to-ground laser communication is constrained not only by local weather conditions but also by infrastructure accessibility and engineering cost. Existing ground station siting studies have mainly emphasized cloud-related meteorological indicators and site diversity, while giving insufficient attention to deployment-oriented cost factors. As a result, meteorologically favorable solutions may still be expensive to implement in practice. To address this issue, this paper investigates the low-cost siting problem of a ground station network under a target network availability constraint and proposes a two-stage method for a multi-link, single-telescope scenario. Under the adopted assumption, each ground station can provide at most one available link at any given time, so the number of available network links is equal to the number of clear-sky available stations. The network availability is therefore defined as the probability that at least a required number of links are simultaneously available. Using half-hourly cloud mask data from the Himawari 8 geostationary meteorological satellite for the year 2023, site-neighborhood cloud metrics and inter-site weather correlation metrics are constructed. A data-center clustering and distance-decay model is then introduced to build an infrastructure impact cost field. On this basis, nationwide optimization is carried out through candidate construction and final subset selection. A baseline method without data-center factors is also evaluated under the same total-cost definition. The results show that, under the same target network availability requirement, the proposed method can effectively reduce total deployment cost. This indicates that incorporating data-center factors during siting improves the engineering tradeoff of multi-link geostationary laser communication ground station networks and provides a reproducible route for low-cost planning under service availability constraints.
Zhang, Chi, Zhao, Juntong, Li, Wenfeng, Zhao, Kanglian
Space-ground laser communication links are highly susceptible to interruptions caused by cloud cover. Reliable dynamic scheduling of ground stations and seamless link handover, therefore, requires accurate short-term cloud-layer forecasts. However, cloud evolution is inherently chaotic, and atmospheric conditions exhibit evident seasonal non-stationarity. These factors weaken the prediction stability of existing models and make it difficult to maintain consistent accuracy over extended forecasting horizons. To address these challenges, this paper proposes KFMNet, an adaptive cloud prediction network that integrates Koopman theory with frequency-domain Mamba modeling. Unlike conventional frameworks that mainly process cloud features in the spatial domain, KFMNet embeds a linear state-space modeling mechanism into the frequency-domain feature evolution process. Specifically, an adaptive spectral gating mechanism is used to capture global cloud distribution patterns in the frequency domain, thereby reducing the computational burden associated with high-resolution image sequences. Meanwhile, a Koopman seasonal gating module introduces monthly prior knowledge into the network, enabling the model to adapt to atmospheric drift across seasonal transitions. Within the encoder-decoder backbone, KFMNet jointly incorporates temporal modeling, frequency-domain representation, and physical consistency constraints, providing a more stable framework for short-term cloud prediction. We evaluate KFMNet on multi-season cloud images collected over Nanjing and Beijing. The climate profiles of these two cities are markedly different. Under these conditions, KFMNet achieves competitive accuracy in cloud segmentation and shows a better ability to handle seasonal and regional shifts than several reference models. In essence, our method adapts well to changing atmospheric conditions and provides a new cloud prediction approach for space-ground laser link assurance. This method combines physical interpretability with the actual needs of real-world deployment.
Wu, Xibing, Meng, Xiangxu, Zhong, Yun, Li, Wenfeng, Zhao, Kanglian
During aerobraking, spacecraft deploy large flexible solar arrays to obtain enough aerodynamic drag. In the rarefied Martian atmosphere, rapidly varying dynamic pressure causes low-frequency elastic vibrations of these appendages, leading to coupled translation-rotation-vibration fluid-structure interaction (FSI) that affects both aerodynamic characteristics and attitude stability. Traditional high precision methods such as DSMC are difficult to apply to long-duration simulations owing to their high computational cost. To solve this problem, this paper proposes a one-way FSI framework, which conbines a cross-regime panel method for aerodynamic calculation with a reduced-order multibody dynamic model. The simulation results show that the framework can reduce the computational burden while retaining the main physical characteristics required for the analysis. The aeroelastic response of a representative spacecraft configuration is analyzed, and the results can support configuration design, aerobraking corridor constraints, and control system development.
Zhou, Tianhao, Cui, Hutao
Aiming at the constraint issues of adjacent spacecraft solar panel collision avoidance and formation keeping in the pose tracking control of spacecraft formation, this paper proposes a distributed relative position and attitude cooperative control strategy on the basis of high-order control barrier functions. First, nominal control strategies for relative position and attitude tracking using the sliding mode control method to achieve high-precision tracking of relative motion are de-signed. Then, high-order control barrier functions suitable for solar panel collision avoidance and spacecraft formation keeping constraints are constructed. The control strategy constraints satisfying safety specifications are derived based on the forward invariant set theory. Finally, a quadratic programming optimization framework is established by combining the nominal control strategies and constraint conditions and then we obtain the optimal control strategy by solving this framework. Numerical simulations verify that the designed control scheme achieves precise tracking of relative position and attitude for spacecraft formation, avoids collisions between solar panels of adjacent spacecraft and prevents excessive loosening of the formation configuration.
Zhu, Ziqi, Qin, Wenyu, Lyu, Yueyong
Spacecraft hinged-panel structures feature a multi-hinged configuration, substantial dimensions, low stiffness, and low damping, making them susceptible to sustaining low-frequency vibrations under multi-source excitations. To address this challenge, a novel stiffness-tunable hinge is proposed for low frequency vibration attenuation. Firstly, the hinge structural geometry and stiffness-tunable principle are presented. Subsequently, FEM models of multi-panel structures incorporating stiffness-tunable hinges are developed. The natural frequencies and mode shapes of the system are investigated. Simulation results indicated that the multi-panel structures reveal bending vibrations, torsional vibrations, and coupled bending–torsional vibrations of the hinge-panel structure. Finally, a microgravity experimental platform was developed, this experimental platform offers several advantages, including extremely low friction, unconstrained horizontal motion, a compact structure, a small footprint, and robust reliability. The gravitational load of the hinged-panel is nearly counterbalanced, thereby enabling its unrestricted, omnidirectional translation across the horizontal plane. The experimental results rigorously validated the link between hinge stiffness-tuning and system eigen-frequency migration. Furthermore, vibration suppression at low frequencies of 0.29 Hz (for three-panel) and 0.31 Hz (for four-panel) was realized using non-contact magnetic excitation. This approach achieved amplitude reductions of approximately 9.70 dB at 0.29 Hz and 12.53 dB at 0.31 Hz. These findings demonstrate a novel strategy for suppressing low-frequency vibrations in spacecraft structures.
Bi, Zhiwei, Lin, Hui, Hu, Wei, Wang, Yufeng, Zhang, Ce, Yu, Ruijiang
In addressing the challenges of deep purification of cadmium (Cd) heavy metal contamination and membrane fouling control in spacecraft drinking water sources and recirculation systems, this study adopts a coagulation-ultrafiltration coupled process, with polyaluminium chloride (PACl) as the coagulant and sodium polyacrylate (PAANa) as the complexing agent. A systematic investigation was carried out to examine the effects of key operating parameters—including coagulant dosage, complexing agent dosage, and humic acid (HA) concentration—on Cd removal efficiency, floc morphological characteristics, and ultrafiltration membrane resistance distribution. The results indicate that for simulated raw water containing 0.05 mg/L Cd and (50 ± 0.5) NTU turbidity, under the optimized conditions of 20 mg/L PACl, 20 mg/L PAANa, and pH = 7, the Cd concentration in the effluent treated by the coagulation-ultrafiltration coupled process is reduced to as low as 0.004 mg/L, which meets and even exceeds the hygiene standard limits for both spacecraft drinking water and domestic drinking water. HA was found to promote floc growth and enhance the complexation-based removal of Cd, yet it exacerbates membrane surface adsorption and gel layer fouling. Membrane resistance analysis reveals that gel layer resistance and concentration polarization resistance are the primary sources of fouling, and membrane fouling can be effectively mitigated through rational regulation of operating parameters. This coagulation-ultrafiltration coupled process is characterized by high purification efficiency, stable effluent quality, and strong modularity. It is well adapted to the requirements for closed-loop circulation of spacecraft water resources and drinking water safety assurance, and can provide technical support for water circulation systems in manned spacecraft, drinking water purification at launch sites, and in-situ water treatment during deep space exploration.
Li, Xinyue, Zhang, Jie, Wei, Xiang
Large-scale UAV clusters make real-time reconstruction of joint spatio-temporal-frequency (STF) situations difficult because the monitored state is high-dimensional and strongly coupled. This paper proposes a lightweight reconstruction algorithm based on Kronecker Compressive Sensing (KCS). First, a Multi-Channel Random Demodulation (MCRD) sensing model is built, and a Spatio-Temporal-Frequency 5D Grid (STF-5D Grid) is used to represent space, frequency, and time resources in a unified form. Next, a Tensor Orthogonal Matching Pursuit (T-OMP) algorithm is developed under the KCS framework. By using the separability of Kronecker products, the method replaces storage and multiplication of a global high-dimensional sensing matrix with dimension-wise operations. Two simulation studies are conducted to evaluate computational feasibility and reconstruction quality. In the city-scale case with 62.91 million grid cells, the factorized implementation avoids constructing the global sensing matrix and completes the tested reconstruction in 9.44 s. The reported memory value is interpreted as additional algorithmic storage for the factorized operators rather than total process peak memory, and should be rechecked with full tensor input/output and runtime overhead included. In noise-free, highly sparse proxy tests, several reconstruction errors approach the numerical precision floor; these results are therefore treated as ideal upper-bound evidence rather than practical field accuracy. The simulations suggest that KCS-based T-OMP can reduce storage and computational pressure for STF reconstruction, while its engineering performance still requires validation under noisy observations and realistic platform constraints.
Tian, Jinghao, Wang, Qianzhe, Di, Shen, Wei, Tan, Song, Bowen
Troposcatter communication is an important beyond-line-of-sight transmission technology for long-distance terrestrial links in infrastructure-limited environments. However, its transmission loss is strongly affected by meteorological conditions, and the resulting short-term fluctuations make accurate link-state prediction difficult. To address this issue, this paper investigates the prediction of troposcatter transmission loss based on meteorological factors and proposes an attention-enhanced prediction model for short-term forecasting. First, the physical relationship between atmospheric conditions and troposcatter transmission loss is analyzed. On this basis, an hourly dataset is constructed by combining meteorological parameters extracted from the ERA5 reanalysis dataset with the corresponding transmission-loss observations of a troposcatter link. The meteorological field is represented through spatial sampling along the link direction and vertical reconstruction across multiple altitude levels, so that both spatial structure and temporal evolution can be incorporated into the model input. The proposed model utilizes a convolutional neural network (CNN) for the extraction of spatial features from meteorological profiles and then uses a Transformer encoder to capture long-range temporal dependencies within the historical observation window. Simulation results suggest that the proposed model can track the time-varying pattern of transmission loss more accurately than benchmark models, including CNN and CNN-LSTM. The results demonstrate that the attention mechanism can effectively enhance the short-term prediction capability for troposcatter transmission loss and provide useful support for dynamic link assessment and operational decision-making.
Zhang, Kangkang, Zhao, Kanglian
Supercritical carbon dioxide (sCO2) power cycles present promising application prospects in spacecraft and mobile energy systems owing to their outstanding advantages including high thermal efficiency and compact system structure. As a key component of sCO2 heat exchange systems, the complex capillary pipeline structure significantly influences heat transfer performance and system stability through its internal flow distribution uniformity. In this study, a multi-physics numerical simulation approach is employed to establish a complex capillary pipeline model with four compartments labeled A, B, C and D, aiming to explore the effects of different acceleration (overload) conditions on internal flow distribution. Various acceleration cases are considered, such as zero gravity, horizontal placement (0, 1g, 0), vertical placement (-1g, 0, 0), (0.15g, -0.7g, 0), (5g, -3g, 0) and (8g, -3g, 0). Meanwhile, the regulation effect of orifice plates on flow distribution is analyzed. The results demonstrate that both the magnitude and direction of acceleration exert remarkable impacts on the flow distribution ratio within the pipeline. Under vertical acceleration, flow distribution among the different branches becomes more uneven. Under high acceleration conditions, compartment A is prone to obvious flow deviation, which deteriorates overall flow uniformity. Orifice structures adjust flow distribution under acceleration pretty well—they work by changing the flow resistance characteristics. The present research provides reliable theoretical foundation and data support for the optimal design of complex capillary pipeline structures under variable acceleration environments.
Chen, Weihua, Wei, Xiaorui, Yang, Tianyu, Wang, Cong, Qin, Jiang
Inhibition of coking from pyrolysis of hydrocarbon fuel is critical for ensuring the safe operation of high-speed aircraft. In this work, the inhibitory effects of dimethyl disulfide (DMDS) on coke during the supercritical pyrolysis of n-decane were investigated. Experiments using an electrically heated micro-reactor tube were conducted to study the influences of presulfidation and cofeeding methods with varying DMDS concentrations. The pyrolysis products were analyzed via gas chromatography, while pressure drop and coke mass were measured. The composition and morphology of coke were further characterized by energy-dispersive spectroscopy and scanning electron microscopy. The results show that the influence of DMDS on coke formation depends on its application method and concentration. At a DMDS concentration of 500 ppm, the coke inhibition rate reached 85.5% with presulfidation and 81.7% with cofeeding. However, with increasing DMDS concentration beyond 500 ppm, the amount of coke formation increases. Coke formation during supercritical pyrolysis of n-decane primarily involves metal-catalyzed coking and bulk-phase coking processes. The H2S and HS radicals generated from pyrolysis of DMDS react with transition metals such as Fe and Ni, thereby inhibiting the formation of metal-catalyzed filamentous coke. The presulfidation process forms a sulfide layer earlier than the cofeeding process, more effectively suppressing the generation of filamentous coke. However, excessively high DMDS concentrations can lead to its decomposition into sulfur-containing radicals such as thiol radicals (CH3S·), which incorporate into the coke matrix, enhance its reactivity, and promote coke formation. This work offers valuable insights for the application of DMDS as a coke inhibitor in endothermic hydrocarbon fuels.
Liao, Yan, Yao, Yixuan, Yang, Can, Huang, Qin, Chen, Yu
Fuel adulteration increases operating costs, reduces vehicle efficiency, and contributes to air pollution. Fuel-quality verification typically requires laboratory infrastructure or dedicated sensors that are not available to most end users. In our previous work, we demonstrated that a software-only approach based on standard on-board diagnostics (OBD) signals and supervised machine learning can detect water adulteration in hydrated ethanol under real-world driving conditions with high accuracy. However, supervised classifiers remain challenging because fuel-trim dynamics vary across vehicles due to powertrain calibration, component aging, and operating environments, which can limit model generalization. This work addresses this limitation by introducing a detection framework that learns a vehicle-specific baseline of normal operation using gradient boosting regression (GBR) and flags anomalous events through residual-based cumulative sum (CUSUM) monitoring. The baseline model is trained using compliant-fuel data, and the CUSUM decision threshold is calibrated from temporally ordered normal-operation data using an expanding-window procedure with an initial warm-up segment. Across two vehicles, the proposed framework achieved recall values of 99.77% and 84.38%, with F1 scores of 99.88% and 91.53%, respectively, while maintaining zero false positives under compliant-fuel operation.
Marchezan, André Ricardo, Giesbrecht, Mateus
With the rising pressure of a global energy transition to cleaner energy systems, the transportation sector faces a challenge in maintaining its current structure and adapting to all the required changes. Dual-fuel technology emerges as a promising alternative to keep the viability of the sector while utilizing environmentally friendly fuels alongside traditional hydrocarbons, without deep structural changes in the current framework. This work investigates the impact of the use of methane gas coupled with diesel fuel, specifically focusing on its influence on the ignition delay time (IDT) in a dual-fuel combustion setting. The investigation employed the Advanced Fuel Ignition Delay Analyzer (AFIDA), a constant-volume combustion chamber capable of automatically measuring multiple samples in a single run. Methane gas was introduced into the chamber at molar concentrations of 1%, 2%, and 3% and at initial pressures of 5 and 10 bar, with temperature values ranging from 653 to 723 K. With the same amount of diesel being injected for all experiments, it was possible to replace up to 40% of the total energy release with methane during the combustion process. Compared to pure diesel, the IDT values of the methane–diesel mixtures were only affected in low-temperature settings. At higher temperatures, the IDT values remained largely consistent with those of pure diesel, suggesting that higher substitution ratios of methane are feasible without compromising the ignition delay. This work also uncovered that the percentage of energy replaced by methane does not have a direct correlation with IDT or peak pressure values.
Pacheco Virginio, Thiago, Eraqi, Basem, Sakleshpur Nagaraja, Shashank, Sarathy, S. Mani
High exhaust gas recirculation (EGR) rates in dedicated hybrid engines (DHEs) cause combustion instability and fuel economy degradation. This study investigates a 2.0L turbocharged DHE with a high-tumble combustion system optimized by computational fluid dynamics (CFD) simulation. At the brake thermal efficiency (BTE) operating point (2750 r/min, brake mean effective pressure [BMEP] 11 bar), engine bench tests evaluated the effects of three ignition energy levels (120 mJ, 150 mJ, 200 mJ) and two spark plug configurations (1.1 mm nickel alloy and 0.7 mm pin-to-pin iridium) on combustion characteristics, fuel economy, the misfire-limited EGR rate (hereinafter the EGR misfire limit), and engine-out emissions. Results show that above 23% EGR, intake condensate weakens ignition and destabilizes combustion. Raising ignition energy to 200 mJ extends the EGR misfire limit from 23% to 28%, shortens ignition delay (CA0-10) and combustion duration (CA10-90) by 4.5°CA and 2.8°CA and reduces BSFC by 3.2 g/kWh. The 0.7-mm iridium plug outperforms the 1.1-mm nickel alloy plug above 27% EGR: CA0-10 and CA10-90 shorten by 2.9°CA and 2.5°CA, the EGR misfire limit extends by 0.5 percentage points, and BSFC improves by 0.9 g/kWh. The combined optimization extends the EGR misfire limit to 28.5% with a cumulative BSFC reduction of 4.5 g/kWh. HC emissions decrease with reduced spark plug gap, while NOx and CO remain insensitive to the ignition strategy. The coupled optimization of high-energy ignition and small-gap spark plug effectively overcomes ignition degradation under high EGR. The reduced breakdown voltage of the small gap and the sufficient energy reserve of high-energy ignition form a synergistic effect, providing quantitative design guidance for ignition systems in next-generation high-efficiency DHEs.
Wang, Peng, Ren, Siming, Cong, Rizhen, Deng, Xiaorong, Liu, Zonghui, Zhu, Yunfeng, Li, Hongzhou, Yan, Pingtao
The paper presents the results of investigations on the exhaust emissions carried out under real-world operating conditions of gasoline engines used in lawnmowers and power generators. During the operation of these engines, the authors measured the emissions of the following exhaust gaseous components: CO, HC, NOx, and CO2. For the measurements, the authors used Axion R/S+, a PEMS (Portable Exhaust Emission System) analyzer. The presented method is a new approach to exhaust emissions measurements performed on small engines. The emission coefficient, as a related value of the emission of harmful compounds and CO2, was proposed. Additionally, some remarks related to the measurement method were made. The paper presents the modal analysis of the investigations of the exhaust emissions from engines and the total mass of gaseous compounds. Moreover, the obtained results of the exhaust emissions from the power generator engine were compared with the applicable emission standards, and the real emissions of CO and HC+NOx were, respectively, about 10% and 38% higher than Stage II standards. Based on the investigation results, the authors considered the possibilities of using the said measurement method in real-world operating conditions, applying the PEMS equipment for small gasoline engines.
Lijewski, Piotr, Markiewicz, Filip, Fuć, Paweł, Dobrzyński, Michał, Wiśniewski, Sławomir
Waste heat recovery has become a critical research area in the quest for improving automotive energy efficiency. Internal combustion engines lose a large amount of their energy as heat through exhaust gases. Thermoelectric generation technology presents a promising approach to capturing and converting this waste heat into useful electrical energy. In this work, a theoretical study on the application of thermoelectric generators (TEGs) for battery charging by converting waste heat from internal combustion engine exhaust into usable electrical energy is proposed. A prototype system incorporating TEG modules was designed focusing on the minimization of back pressure; flow of exhaust gas is ensured through a circular internal cross-section. Thermal simulations were performed using Ansys Workbench, and computational fluid dynamics (CFD) analysis was conducted to quantify the back pressure. Two heat exchanger materials, aluminum and copper alloys, were evaluated for their heat transfer performance. The results indicate that copper achieves superior heat transfer, with hot-side temperatures approximately 8.6% to 23.9% higher than aluminum. However, aluminum remains a viable alternative due to its lightweight and cost-effectiveness. With the cold side being maintained at 91°C to simulate realistic engine coolant conditions, the experiment shows that a series-parallel configuration of six TEG modules (three in series × two in parallel) can effectively generate the necessary voltage (13–15 V) and current (3.5–7 A) to charge a 12-V automotive battery. CFD analysis confirmed that the circular internal geometry produces low back pressure, with pressure drops of 28 Pa, 63 Pa, and 168 Pa for inlet velocities of 25 m/s, 40 m/s, and 70 m/s, respectively. This research underscores the potential of TEG-based battery charging systems in enhancing energy efficiency, though further development is required for real-world automotive integration. Future work could focus on on-vehicle testing, optimizing thermoelectric materials, and integrating advanced cooling mechanisms and maximum power point tracking controllers to improve overall system viability.
Satheesh, Amal, Satheesh, Akul, Pillai, Ashwin S., Mahisankar, J.S., Sreejith, B.J.
For a company concerned with end-of-life automotive recycling, it makes sense to have a “metal” attitude. INDRA's slogan - Car destruction and automotive recycling specialist since 1985 - certainly fits the bill. INDRA, a subsidiary of The Future is Neutral (itself a subsidiary of the Renault Group and SUEZ), has been around for over 40 years and was on hand at the massive Automechanika Frankfurt expo, an event focused on the automotive aftermarket, in early September to promote Design For Recycling (DFR) and more options for recycling old cars. Since automobiles are at least 85% recyclable and at least 95% recoverable, INDRA said, it can fairly be thought of as a “main resource.” The problem is that new vehicles usually contain less than 30% recycled materials, which is why the company has a mission to collect and dismantle end-of-life vehicles and then reuse, revalue, and recycle their components and materials. With vehicle complexity increasing, older vehicles sticking around longer, and new regulations coming into effect, EVL services are in high demand.
Blanco, Sebastian
A worn-out heavy-duty engine covered in oily grime is an attractive core that's in hot demand by engine remanufacturers. “Even though that engine assembly is non-working, there's tremendous value in the components and the parts that can be brought back to like-new condition for reuse,” said Kevin Schrag, manager of John Deere Reman, a remanufacturing engine and parts operation for off-highway vehicles. Heavy-duty engines have been one of the top sectors for remanufacturing activity for many years. “Many factors make heavy-duty engines ideal for remanufacturing. As durable products, the engine and its components are designed to last, and remanufacturing extends the functionality,” said Dr. Nabil Nasr, founder and current board member of the Remanufacturing Industries Council and the CEO of the REMADE Institute.
Buchholz, Kami
The current study examines the combined effects of injection strategy, injector configuration, and fuel blending on the combustion performance and emission behavior of a light-duty compression-ignition (CI) engine operated in premixed charge compression-ignition (PCCI) combustion mode. Experiments were conducted in PCCI combustion mode using a diesel–gasoline blend (D80G20, 80% diesel and 20% gasoline by volume). A modified injector configuration, with a split-injection scheme comprising pilot and main injection events, was implemented to enhance mixture preparation and control combustion characteristics. The baseline configuration utilized PCCI mode with diesel (D100) and an inclined injector orientation. The results indicate that blending gasoline into diesel prolongs ignition delay and facilitates charge premixing, hence improving the stability of the PCCI combustion regime. Using a vertically oriented injector with a symmetric spray pattern significantly improves air–fuel mixing, and split-pulse injection enables more accurate control of combustion phasing. Among the tested strategies, the D80G20 blend, combined with a vertical injector and optimized split injection, achieved the highest brake thermal efficiency at 60% load, improving by 10.1% over the baseline case. In addition, unburned hydrocarbon (HC) and carbon monoxide (CO) emissions were significantly reduced by 54.1% and 49.4%, respectively. Additionally, the load extension was increased to 77%, which is limited to 60% of the engine-rated load in PCCI with diesel fuel. The current integrated approach provides a viable pathway to implement the PCCI mode to improve engine thermal efficiency and reduce pollutant emissions without significant hardware modifications, thereby supporting the transition to cleaner combustion technologies.
Ranjan, Ashish Pratap, Krishnasamy, Anand
The validation of Autonomous Ground Vehicles (AGVs) and intelligent logistics planners is frequently compromised by the ”Sim-to-Real” gap, where simulation environments fail to replicate the physical friction of operational deployment. Ideally, valid test cases must enforce strict mobility constraints and impose realistic sustainment penalties; however, many current generation tools rely on idealized terrain interactions and infinite-resource assumptions. We present a real-time procedural framework designed to generate high-friction validation environments that stress-test the robustness of the System Under Test (SUT). The architecture integrates gradient-based terrain analysis with a stochastic contested logistics model. It ingests synthetic heightmaps to precompute mobility corridors, ensuring that every generated evaluation episode adheres to vehicle-specific traversability limits. Simultaneously, a logistics kernel enforces fuel consumption scaled by terrain gradients and models supply chain interdiction as a parameterized Bernoulli process. We validate this framework through a ”Digital Twin” methodology, demonstrating that terrain-aware generation eliminates invalid initialization states (0% mobility violations) while the logistics model induces operationally relevant failure modes in the SUT. This unclassified, open-architecture approach supports DoD Verification, Validation, and Accreditation (VV&A) requirements by providing deterministic, reproducible edge cases for autonomous system evaluation.
Soykan, Bulent, Rabadi, Ghaith, Bochenek, Grace, Paul, Victor J.
While autonomous perception has matured within the structured confines of urban roadways, it remains brittle when confronting the chaotic, non-rigid terrain of the natural world. This paper introduces the Clemson Off-Road Dataset, a high-fidelity, multimodal dataset engineered to bridge this gap by challenging standard “flat-world” assumptions. Featuring 2.90 TB of sensor data, the dataset captures a diverse spectrum of unstructured environments, ranging from the transitional trails of CU-ICAR and the day/night lighting dynamics of TN3 to the unstructured wilderness of Camp Daniels and the novel coastal scenery of Edisto Island. Distinguishing itself from existing forest-centric benchmarks, the Clemson Dataset provides a first-of-its-kind focus on coastal data, featuring unique adversarial conditions such as extreme solar glare, loose sand, and shifting tide lines. The data is collected aboard a Polaris RZR Pro R 4, a high-performance platform integrated with a sensor suite designed to perceive physics beyond geometry. Alongside 360° HD camera coverage, 3D LiDAR, and Radar, we integrate Cubert Ultris Hyperspectral imaging and Prophesee EVK4 Event-based vision to enable material classification and high-dynamic-range motion tracking. To overcome the bottleneck in ground truth generation, we used our “AI LabelMate,” a context-aware semi-automated annotation agent that fuses Vision-Language Models (Florence-2) with SAM2 to generate 6331 pixel-perfect annotated frames using a specialized off-road ontology and a human-in-the-loop pipeline. We establish performance baselines using Oneformer for semantic segmentation and used SalsaNext for lidar point clouds labelling. Available in both raw ROS2 bag and extracted standard formats, this Dataset serves as a pivotal testing ground for the next generation of robust autonomous systems.The dataset of this paper is available upon request to the Virtual Prototyping of Autonomy-Enabled Ground Systems (VIPR-GS) Center.
Patil, Ashish, Gupta, Prakhar, Bhosale, Mayuresh, Mukwaya, Arthur, Jegede, Akinbobola, Mikulski, Dariusz, Mwakalonge, Judith, Jia, Yunyi
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