Browse Topic: Soils

Items (995)
Recent advancements in off-road autonomy have shown significant progress in perception, planning, and control frameworks, including end-to-end learning approaches. Comprehensive results have been demonstrated in both simulation and real-world experiments; however, there are significant challenges in critical cases that need further evaluation. One such challenge is the immobilization of autonomous ground vehicles (AGVs) in unstructured off-road environments, which can significantly impact agriculture, space exploration, military operations, and search and rescue missions. Addressing this problem requires recovery strategies that are context-sensitive, adaptable to terrain and vehicle conditions, and effective in integrating multimodal inputs. To this end, this paper investigates the use of a large multimodal model (LMM) providing higher-level planning assistance with human-in-the-loop evaluations for vehicle recovery after immobilization in unstructured off-road terrain. The experimental simulation platform developed was based on the Algoryx (AGX) Dynamics engine for high-fidelity terramechanics interaction and vehicle physics combined with Unreal Engine 5. This platform was further integrated with a driving simulator equipped with steering wheel and pedal interfaces for human-in-the-loop experiments. We evaluated ten representative unstuck scenarios across two deformable terrains (loose sand and compact sand) under two modes: an unskilled baseline, where participants attempted recovery unaided, and a co-intelligence mode, where participants used LMM advisory instructions. The results show that LMM assistance improved stuck recovery rates by 70% compared to unaided and unskilled human driving.
Bhosale, Mayuresh, Whitson, Jordan A., Vahidi, Ardalan, Jia, Yunyi
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
Taking the newly constructed Maanshan Yangtze River Highway-Railway Dual-Purpose Bridge — a three-tower steel truss cable-stayed bridge with two main spans of 1120 meters — as the research object, this study systematically explores the influencing factors and evolutionary characteristics of hole wall stability for large-diameter bored piles in thick sand layers. The research results reveal the following mechanisms: with the expansion of pile diameter, the hole wall generates greater deflection, the soil’s internal arch effect is gradually attenuated, soil cohesion decreases, and the plastic zone of the soil surrounding the pile shows a tendency of outward extension, collectively increasing the susceptibility to hole collapse. To maintain hole wall stability, the resultant force of the internal circular arch support and mud pressure must exceed or equal the total lateral pressure, including active earth pressure, formation water pressure, and ground surcharge-induced lateral pressure. Notably, soil shear strength and mud relative density are two dominant factors controlling hole wall stability, and a positive correlation exists between these two parameters and stability. Specifically, a mud relative density range of 1.15–1.25 is recommended for practical construction. These findings offer valuable technical references for the design and construction of similar large-diameter bored pile projects in thick sand layers.
Ye, Tao, Wang, Ruyi
Taking the Nieye Multi-Arch Tunnel in Zhuoni County as the engineering background, this study systematically explores the seismic dynamic response characteristics of loess multi-arch tunnels through shaking table model tests. The test results show that: (1) The strain distribution of the surrounding rock is significantly different. Under a peak acceleration of 0.6 g, the maximum strain in the tunnel portal section is concentrated on the right side, which is related to the incident direction of seismic waves and the stress concentration at the bottom of the central wall; the maximum strain in the tunnel body section is located on the left side, affected by the propagation characteristics of seismic waves, burial depth, and unsymmetrical pressure. (2) The acceleration amplification factors in the Z and ZX directions show nonlinear changes. Under bidirectional excitation, the Wenchuan wave-ZX combination exhibits the strongest response. The variation trend of acceleration at the soil-rock interface varies with wave types, and the slope damage undergoes three stages: elastic stage, elastoplastic stage, and plastic damage stage. (3) The ratio ω of tunnel burial depth to central wall thickness is positively correlated with the strains at key positions. For the seismic design of loess multi-arch tunnels, special attention should be paid to sensitive areas such as the bottom of the central wall and the left side of the tunnel body. It is suggested to improve the structural seismic performance by optimizing the lining reinforcement and adapting to regional seismic wave types. The research conclusions provide a reference for the seismic design of such tunnels under complex geological conditions.
Han, Tao, Cao, Xiaoping, Zhang, Shulin, Yang, Zibin
Subgrade soil is related to the load on the upper part of the road, and its properties will affect the road surface conditions. Frost-thaw action will damage the soil in cold regions. This study focuses on the fine-grained sand in Jilin affected by seasonal frost-thaw, and explores the effects of mixing amount (0% - 6%), curing time (7 days, 28 days), and frost-thaw cycle times (0, 5, 10, 20 times) on the DRM (dynamic resilient modulus) and UCS (unconfined compressive strength) of Portland cement-stabilized soil. The results are: the increase of mixing amount and the extension of curing time will both increase the UCS and DRM; frost-thaw cycles will reduce the UCS and DRM. Roads in cold regions need to use 4% modifier mixture for maintenance for 28 days to achieve strength stability. Heavy subgrades use 6% modifier to obtain the best stiffness load - bearing. This study has insightful guidance for subgrade material improvement in seasonal frozen soil regions.
Wang, Shujuan, Duan, Yonggang, Qin, Weijun, Shen, Ruoting, Jin, Chenguang
Long-distance buried pipelines are the core type in pipeline transportation; the technical indexes and requirements for protection are stricter. In the previous coupling model of pipe and soil, the in-situ soil and backfill soil are treated as a unified continuous medium, and the actual geometric shape and boundary effect of the pipe trench are ignored through simplification of the calculation model. In this study, a new coupling model of in-situ soil, backfill soil, and pipeline is proposed to analyze the actual strain state of buried pipeline with different backfill soil and in-situ soil materials. A model was established based on the ANSYS software to simulate and investigate the mechanical behavior of strike-slip fault-crossing buried pipelines under real trench conditions. By varying multiple parameters, this study analyzes the effects of different operating conditions on the strain distribution and magnitude of buried pipelines. The findings of this study can serve as a reference for the design, construction, and protection of buried pipelines traversing active faults.
Li, Yuxiang, Wang, Guang, Zhang, Chengbin, Wang, Ke, Bi, Haisheng
Typically, triggered by geological hazards such as landslides, ground displacement acts as the main cause for the failure of buried pipelines. To maintain the structural integrity of these pipelines, an in-depth investigation is required to understand how these pipelines, subjected to landslide thrust, respond mechanically. During the research, a refined three-dimensional (3D) finite element model for soil-pipeline interaction was established, as evidenced by existing experimental data, which takes the elastoplastic behavior of the soil and complex contact conditions into consideration. According to a thorough parametric study, on the basis of the model, the effects of pipeline, landslide, and soil vary in their protection, detrimental, and complex trade-off levels. On the one hand, protective measures concerning wall thickness, steel grade, and other similar factors serve to improve resilience; on the other hand, detrimental factors such as burial depth and soil stiffness escalate the possibility of failure risk. Notably, the influences related to landslide extent and pipe diameter are not straightforward and monotonic. In other words, when one factor increases, risk may be reduced in one regime and amplified in another. Therefore, words like “wider” or “bigger” should not be equal to “safer” by default. To conclude, based on the results, train-based evaluation is supported, and some practical guidance can be provided for the design and risk assessment for pipelines in areas where geohazards may occur.
Zhang, Ruijia, Dong, Shaocan, Wang, Xinyu, Li, Yuxing, Hu, Qihui, Wang, Wuchang
During fluid injection operations such as fracturing and well killing, the casing, cement sheath, and borehole wall rock are subjected to three-dimensional in-situ stresses and internal pressure. If the equivalent stress exceeds the material’s yield strength, component failure may occur, leading to wellbore failure or even blowout accidents. In order to investigate the stress distribution in wellbores under specific working conditions, a three-dimensional mechanical model of curved wellbores was established. By adopting the superposition principle and stress function method, the influence of horizontal in-situ stress non-uniformity on the fourth equivalent stress of various components was analyzed. The study demonstrates that under three-dimensional in-situ stress, the fourth equivalent stress of each component increases with the rise of horizontal in-situ stress load non-uniformity and azimuth angle. Meanwhile, borehole azimuth angle and in-situ stress load non-uniformity exert a greater influence on the fourth equivalent stress of the casing, while internal pressure has a lesser impact on it. The effects of azimuth angle, horizontal in-situ stress load non-uniformity, and internal pressure on the fourth equivalent stress of the casing are more significant than those on the cement sheath and borehole wall rock. The research results can provide theoretical and technical references for wellbore design and safety improvement, as well as for the structural safety assessment of components such as automotive chassis and body frames under complex dynamic loads.
Zhang, Wenzhe, Jiang, Wu, Guo, Ziwang, Cao, Yinping, Dou, Yihua
This study prepares high-performance PI/VIP composite thermal insulation materials for buildings by integrating polyimide (PI) composite membranes and vacuum insulation panels (VIPs), and uses EnergyPlus to explore their impacts on building energy conservation, operating costs, and carbon emissions under different climates. Experimental results show the materials have low thermal conductivity, long service life, and excellent thermal insulation and flame-retardant properties due to their internal vacuum structure inhibiting heat transfer. Simulations in Jinan (tropical monsoon), Heilongjiang (cold temperate), and Shenzhen (subtropical humid) climates indicate that compared with traditional XPS and rock wool boards, buildings using PI/VIP composites achieve 21.3%, 34.7%, and 18.9% higher annual energy-saving efficiency respectively, with 27%-41% lower carbon emissions; the most significant effects in Heilongjiang highlight the material’s great promotion potential in severe cold areas.
Bian, Chenqian, Chen, Zhaofeng
The structural stiffness of a manned lunar vehicle is a core indicator ensuring its stable operation in the complex lunar environment. The vehicle’s body structure must meet multiple requirements, including high stiffness, lightweight design, and adaptability to lunar surface conditions. Since lunar gravity is only 1/6 of Earth’s and the terrain is rugged and dusty, the body structure must employ a high-stiffness design to withstand driving impacts and resist deformation, thereby preventing mechanical failures or safety hazards for crew members caused by excessive structural distortion. However, excessive structural stiffness would result in an overweight vehicle body, conflicting with the spacecraft’s lightweight requirements. Thus, the structural stiffness index should be optimized to a lower value while ensuring safe operation during lunar surface driving without compromising performance. This paper calculates and determines the structural bending and torsional stiffness indicators for the manned lunar vehicle’s body through simplified model calculation and the FEA method.
Shen, Zhenghui, Wu, Yingjia, Yang, Jianfeng, Wang, Weijun, Zhang, Chongfeng, Han, Liangliang
This study addresses the insufficient tractive trafficability of four-track unmanned amphibious tracked vehicles (UATV) in beach terrain by proposing an optimization strategy based on coordinated suspension height and hitch point adjustment. A mathematical model of vehicle drawbar pull was established to systematically analyze the influence mechanisms of vertical load distribution, suspension adjustment, and hitch point elevation on tractive trafficability. DEM-MBD coupling simulations revealed differentiated traction laws under sandy loam and clay conditions, particularly regarding track overlap effects. Results demonstrate that in sandy loam, rear-axle traversal over front-axle tracks reduces drawbar pull due to soil loosening, whereas track overlap enhances drawbar pull in clay through soil compaction. Nine suspension-hitch configurations were tested, validating optimization strategies: increased front-axle loading (Configuration a) in sandy loam and reduced front-axle loading (Configuration f) in clay. These configurations significantly improved tractive trafficability.
Chen, Yaoyao, Gao, Xue, Wang, Wenhao, Xu, Xiaojun
Under a microscope, a bouquet of lollipop-like structures, each smaller than a grain of sand, waves gently in a petri dish of liquid. Suddenly, they snap together, like the jaws of a Venus flytrap, as a scientist waves a small magnet over the dish. What was previously an assemblage of tiny passive structures has transformed instantly into an active robotic gripper.
Robots that can move through sand face significant challenges like dealing with higher forces than robots that move in air or water. They also get damaged more easily. However, the potential benefits of solving locomotion in sand include inspection of grain silos, measurements for soil contaminants, seafloor digging, extraterrestrial exploration, and search and rescue.
When a multimillion-dollar extraterrestrial vehicle gets stuck in soft sand or gravel — as did the Mars rover Spirit in 2009 — Earth-based engineers take over like a virtual tow truck, issuing a series of commands that move its wheels or reverse its course in a delicate, time-consuming effort to free it and continue its exploratory mission. While Spirit remained permanently stuck, in the future, better terrain testing right here on terra firma could help avert these celestial crises.
To address the escalating traffic demands and tackle the complex mechanical challenges inherent in in-situ tunnel expansion, this study, grounded in the Huangtuling Tunnel project in Zhejiang Province, China, focuses on the stability evolution of surrounding rock and the mechanical characteristics of structures during the in-situ expansion of existing tunnels under weak surrounding rock conditions. By systematically comparing core post-excavation features—such as surrounding rock displacement fields, ground pressure distribution pat-terns, and mechanical responses of support structures—between newly constructed tunnels and in-situ expanded tunnels, the research reveals key mechanical principles governing the construction of large-section tunnels in weak rock formations. Specifically, the findings are as follows: (1) Both newly constructed and in-situ expanded large-section tunnels exhibit significant spatial heterogeneity in surrounding rock deformation. The vault-spandrel zones serve as the primary deformation-concentrated areas, with displacement magnitudes 3 to 5 times those of the sidewalls, where displacement is near-ly negligible. This pronounced spatial differentiation in deformation patterns confirms the necessity of treating vault deformation monitoring and control as core indicators in formulating stability evaluation criteria for large-section tunnels. This has direct implications for optimizing construction methods, such as prioritizing the reinforcement of initial support for the vault during stepwise excavation. (2) The overall stability of surrounding rock in in-situ expanded tunnels is inferior to that of newly constructed large-section tunnels, accompanied by distinct asymmetric deformation characteristics. However, the peak additional displacement induced by expansion excavation is significantly smaller than the initial displacement during new tunnel construction, potentially attributed to the pre-constraining effect of the existing tunnel structure on the surrounding rock. (3) Stress redistribution during tunnel in-situ expansion leads to a significant pressure difference within the surrounding rock. The surrounding rock pressure on the expansion side is 30%-40% higher than on the opposite side, resulting in a strongly asymmetric distribution. This biased pressure subjects support structures on the expansion side to greater axial forces and bending moments, increasing the risk of structural damage due to uneven loading. This highlights the need to enhance the stiffness of support systems on the expansion side in design, such as extending anchor lengths or increasing the density of steel arches.
Zheng, Xiaoqing, Kang, Xiaoyue, Xu, Kai, Chen, Tao, Huo, Xinwang, Chen, Chuan
Focusing on the deformation warning criteria for a new four-lane tunnel affected by an existing tunnel, this study employs numerical simulation to analyze the ultimate strain of the equivalent rock mass. The results reveal the ultimate shear strain and ultimate tensile strain of Class V surrounding rock, offering critical insights for deformation control and early warning systems. Relying on the Maaoling Tunnel Project, the tunnel planar analysis model is established based on the finite difference FLAC3D software to analyze the deformation and strain distribution pattern of the surrounding rock of the new tunnel under different distances and reduction factors between the new and the existing tunnel. Finally, the tunnel crown settlement as an indicator, the establishment of the Maaoling Tunnel V surrounding rock conditions of different distances construction safety warning standard for the construction of large-span tunnels and early warning provides the basis for the relevant engineering practice has an important reference value.
Zhang, Yufan, Tian, Wei, Liu, Dongxing, Kang, Xiaoyue, Chen, Liming, Zheng, Xiaoqing
For shallow-buried tunnels in weak surrounding rock, methods such as the Cross Diaphragm (CRD) method, the Center Diaphragm (CD) method, and the Double-sided Wall Pilot Tunnel method are commonly used for tunnel entry construction. These conventional methods require the installation of numerous temporary supports, which significantly impact the progress of tunnel construction to a certain extent. Based on the Yanfeng Tunnel project, this paper innovatively proposes a combined construction method of “Double-sided Wall + Bench Cut Method.” A simulation model considering three-dimensional terrain information is established to conduct a comprehensive analysis of the construction impact on the entire structure throughout the process. The results indicate that this tunnel entry method can effectively control the displacement of the surrounding rock, ensuring safe tunnel entry while accelerating the construction progress. This provides a reference and guidance for similar projects.
Pan, Gendong, Jia, Hongbo, Yang, Feng, Xu, Kai, Song, Ying, Zhang, Peng
This study aims to quantify, through Monte Carlo simulation (100,000 iterations), the greenhouse gas (GHG) emissions associated with the complete production cycle of ethanol from sugarcane in Brazil, expressed in kg CO2eq/ha, and to project these emissions over a 20-year horizon. To achieve this, the production cycle was segmented into distinct stages - land use change, soil management and preparation, fertilization, harvesting and straw management, soil carbon sequestration, and industrial processing - and the parameters for each stage were defined based on recent. Three representative scenarios were considered: Worst-case (unsustainable practices involving conversion of native vegetation, high fertilizer dosages, and complete burning of the straw), Typical (conventional practices, with conversion of degraded pastures and sustainable management), and Ideal (best practices, characterized by reduced input dosages, the use of nitrification inhibitors, and high straw retention). The results indicate that, under sustainable practices, ethanol exhibits a significantly lower carbon footprint compared to gasoline, whose typical emissions range between 2.8 and 3.0 kg CO2eq/L. These findings reinforce the potential of Brazilian ethanol to contribute to GHG emission reductions and underscore the importance of adopting sustainable agricultural practices.
Assis, Marcelo Suman Silva, Paula Araújo, Gabriel Heleno de, Baeta, José Guilherme Coelho, Abreu, Pedro Blaso Barbosa de, Filho, Fernando Antonio Rodrigues
Tracked Military Vehicles are well known in armed forces, due to their use and importance in conventional combat, playing a crucial role since World War I until current combats. Also, as it happens in different generations, the environment involved in these wars changes and those vehicles are being used not only in open field situations, but inside residential neighborhoods also. However, despite their relevance, analyses and studies aimed at understanding these vehicles are scarce at the undergraduate level, which creates a gap among the recent graduate engineers that want to learn and understand how tracked vehicles perform in different scenarios. This is important because understanding initial concepts helps to bring more ideas and start more detailed studies in the area. Therefore, to bridge this gap, a detailed dynamic analysis of a tracked military vehicle is conducted using MATLAB with a dynamic model to evaluate performance, level transitions, and acceleration. Additionally, simulations are performed under different scenarios: asphalt, sand, and mud, where conditions in a jam situation are tested.
Dalcin, Pedro Henrique Kleim, Ribeiro, Levy Pereira, Lopes, Elias Dias Rossi, Rodrigues, Gustavo Simão
In order to ensure the construction safety of tunnels in water-rich sections near reservoir areas, it is very important to adopt comprehensive and reliable advanced geological prediction technology combined with on-site monitoring and measurement. Taking the Chenlingding tunnel as an example, through the comprehensive geological prediction of the broken rock section near the reservoir, the numerical model of the broken rock section was established, and compared with the field measurement data. The results show that the comprehensive advanced geological prediction system combining short, medium and long distances, such as geological radar, seismic wave reflection method and advanced horizontal drilling, has high accuracy in adverse geology, rock fragmentation and water rich conditions in the tunnel; The rich water condition, fault information and rock engineering geology provided by the advanced geological prediction can provide reliable guarantee for the tunnel excavation scheme, the preparation of advanced support measures and the formulation of emergency plans; The deformation trend of the deformation curve of the monitoring value and the simulation value is consistent. The initial ground settlement and vault settlement of the tunnel are relatively fast, and they are basically stable after 50 days, but both are less than the deformation amount reserved in the design scheme, indicating that the construction scheme is safe and reasonable, and the control effect is good, which can provide reference for the selection of advanced geological prediction methods and the formulation of construction scheme of water-rich tunnel.
Dai, Yunfei, Feng, Meijie, Liu, Dacheng, Tang, Xianyuan
The study focuses on the management of deep foundation pit excavation, influenced by temporal and spatial factors, in the context of the challenging environmental circumstances posed by the high-water-level silty soft clay along the Yellow River's northern shore, as part of the Jinan urban rail transit initiative. The subsequent inferences have been made: (1) Throughout the digging phase, issues such as excessive digging and delays in installing steel reinforcements occur, while the subterranean diaphragm wall tends to shift significantly inward within the excavation area due to the disparity in pressure between the water and soil inside and outside. (2) During the building phase, managing wall distortion is imperative, and an enhanced preliminary force should be applied to the support's axial component at points of significant deformation, guaranteeing an excess coefficient for both the support rigidity and the continuous subterranean wall rigidity. (3) In the process of diaphragm wall grooving, if the quality of grooving is not good, the quality of grooving in some areas will be poor, and there will be more bulges and mud on the surface of the wall, which will cause some positions to invade the line. Throughout the building process, appropriate strengthening actions must be implemented to maintain the integrity of the grooving work.
Gao, Tiangang, Zhang, Xu, Pan, Fuyong, Zhang, Wenjun
To address the challenges of high support deformation risk in soft rock tunnels of the Qinling Mountains and slow construction speeds in small-section tunnels due to spatial constraints, this study leverages the engineering geological characteristics of the region. These include predominantly mudstone and sandstone, well-developed joints and fissures, and moderately strong surrounding rock. Based on the Lianhua Mountain Tunnel project, the use of a cantilever roadheader in small-section tunnels with soft rock geology was introduced. Through in-depth research on adaptability and design parameters, it was demonstrated that the cantilever roadheader exhibits good adaptability in the soft rock regions of the Qinling Mountains and has significant potential for broader application. The application research results show that the cantilever roadheader causes minimal disturbance to the surrounding rock, resulting in smaller deformation. It also demonstrates a notable progress advantage in sandstone and conglomerate tunnels, particularly in Class IV and V surrounding rock, where construction speed increased by nearly 90% compared to the drilling and blasting method.
Wu, Jianmin, Hu, Ruoqi, Zhang, Te, Meng, Xianghua
When a tunnel passes through the transition zone between two faults, different support schemes have varying impacts on the deformation of the surrounding rock. This study, based on the Zhangzhuang Tunnel's double-fault area, establishes a numerical simulation model using Midas GTS NX to compare and analyze the effects of an enhanced support scheme versus a standard reinforcement scheme. The results indicate that when the non-reinforced support scheme is applied throughout the tunnel, the settlement of the transition zone's crown is 5.7 mm, only 0.27 mm greater than that of the reinforced scheme. Additionally, the variation in support stress in the transition zone between the two schemes is minimal. This demonstrates the feasibility of adopting the non-reinforced scheme, which reduces the number of steel arch frames, enhances construction efficiency, and provides a reference for future construction of small-section tunnels in double-fault conditions.
Wu, Jianmin, Niu, Shuo, Zhang, Te, Meng, Xianghua
Tippers transporting loose bulk cargo during prolonged descents are subject to two critical operational challenges: cargo displacement and rear axle lifting. Uncontrolled cargo movement, often involving loose aggregates or soil, arises due to gravitational forces and insufficient restraint systems. This phenomenon can lead to cabin damage, loss of control, and hazardous discharge of materials onto roadways. Simultaneously, load imbalances during descent can cause rear axle lift, increasing stress on the front steering axle, resulting in tire slippage and compromised maneuverability. This study proposes a dynamic control strategy that adjusts the tipper lift angle in real time to align with the descent angle of the road. By synchronizing the trailer bed angle with the slope of the terrain, the system minimizes cargo instability, maintains rear axle contact, and enhances braking performance, including engine and exhaust braking systems. Computational modelling is employed to assess the performance of this approach across varying road gradients, vehicle speeds, and terrain characteristics. The paper further outlines the development of an automated control system for real-time angle adjustment and its integration into the vehicle’s existing electrical architecture.
Vijeth, Abhishek, Bhosle, Devidas Ashok, Cherian, Roshni, Dash, Prasanjita
Off-highway vehicles (OHVs) routinely navigate unstable and varied terrains—mud, sand, loose gravel, or uneven rock beds—causing increased rolling resistance, reduced traction, and high energy expenditure. Traditional rigid chassis systems lack the flexibility to adapt dynamically to changing surface conditions, leading to inefficiencies in vehicle stability, maneuverability, and fuel economy. This paper proposes an adaptive terrain morphing chassis (ATMC) that can actively modify its structural geometry in real-time using embedded sensors, hydraulic actuators, and soft robotic elements. Drawing inspiration from nature and recent advances in adaptive materials, the ATMC adjusts vehicle ground clearance, track width, and load distribution in response to terrain profile data, thereby optimizing fuel efficiency and performance. Key contributions include: A multi-sensor fusion system for real-time terrain classification Hydraulic actuators and morphing polymers for variable chassis configurations Simulated fuel savings of 8–14% across diverse terrains compared to fixed-geometry systems The design also contributes to sustainability by reducing energy waste and material wear, and by enabling smart, terrain-responsive behavior that can extend the lifespan of vehicle components. This innovation holds significant potential for deployment in resource-heavy industries where OHVs operate in unpredictable and efficiency-critical environments.
Vashisht, Shruti
Uneven thawing of frozen soil in the subgrade of wide highway leads to settlement difference of the pavement, which affects the driving comfort. The prefabricated bridge-type pavement mitigates the disease of wide subgrade in permafrost region by applying prefabricated slabs in the subgrade. In order to verify the deformation adjustment effect on wide subgrade of prefabricated bridge-type pavement, earth-filled pavement and prefabricated bridge-type pavement numerical models were established and subgrade mechanical behaviors were analyzed under frozen soil thawing in active layer, frozen soil thawing in localized deteriorated zone and vehicle loading. Comparative analysis of pavement settlement of earth-filled pavement and prefabricated bridge-type pavement under various cases is carried out. The results show that the maximum settlement of prefabricated bridge-type pavement decreases by about 32%~48%, and the settlement difference decreases by about 45%~65%, which has a good adjustment effect of pavement settlement.
Yu, Yuanqing, Zhang, Li, Wang, Shan, Cheng, Litao
Navigation in off-road terrains is a well-studied problem for self-driving and autonomous vehicles. Frequently cited concerns include features like soft soil, rough terrain, and steep slopes. In this paper, we present the important but less studied aspect of negotiating vegetation in off-road terrain. Using recent field measurements, we develop a fast running model for the resistance on a ground vehicle overriding both small vegetation like grass and larger vegetation like bamboo and trees. We implement of our override model into a 3D simulation environment, the MSU Autonomous Vehicle Simulator (MAVS), and demonstrate how this model can be incorporated into real-time simulation of autonomous ground vehicles (AGV) operating in off-road terrain. Finally, we show how this model can be used to simulate autonomous navigation through a variety of vegetation with a PID speed controller and measuring the effect of navigation through vegetation on the vehicle speed.
Goodin, Christopher, Moore, Marc N., Hudson, Christopher R., Carruth, Daniel W., Salmon, Ethan, Cole, Michael P., Jayakumar, Paramsothy, English, Brittney
Navigation in off-road terrains is a well-studied problem for self-driving and autonomous vehicles. Frequently cited concerns include features like soft soil, rough terrain, and steep slopes. In this paper, we present the important but less studied aspect of negotiating vegetation in off-road terrain. Using recent field measurements, we develop a fast running model for the resistance on a ground vehicle overriding both small vegetation like grass and larger vegetation like bamboo and trees. We implement of our override model into a 3D simulation environment, the MSU Autonomous Vehicle Simulator (MAVS), and demonstrate how this model can be incorporated into real-time simulation of autonomous ground vehicles (AGV) operating in off-road terrain. Finally, we show how this model can be used to simulate autonomous navigation through a variety of vegetation with a PID speed controller and measuring the effect of navigation through vegetation on the vehicle speed.
Goodin, Christopher, Moore, Marc N., Hudson, Christopher R., Carruth, Daniel W., Salmon, Ethan, Cole, Michael P., Jayakumar, Paramsothy, English, Brittney
The success of off-road missions for ground vehicles depends heavily on terrain traversability, which in turn requires a thorough understanding of soil characteristics a key component being soil moisture content. When large areas need to be analyzed, satellite imagery is often used, although this approach typically reduces the spatial resolution. This decrease of spatial resolution creates what are known as mixed pixels, when two or more classes or features are in a single pixel’s area, which can lead to noisier data and lower accuracy models. This paper investigates using linear spectral unmixing as a way to help clean / mitigate noisy data to yield better predictive models. Hyperspectral remote sensing from the Hyperion satellite platform and ground truth from the International Soil Moisture Network (ISMN) are used for the dataset. This study found that soil moisture content prediction, comparing the mixed multilayer perceptron (MLP) model with an unmixing approach revealed a 10–30% change in RMSE and MAE across NDVI ranges incremented by 0.1. Hence, this study demonstrates the potential use of spectral unmixing as a methodology to help enhance predictive models for terrain properties when using (lower spatial resolution / more noisy) remotely sensed datasets.
Ewing, Jordan, Jayakumar, Paramsothy, Kasaragod, Anush, Oommen, Thomas
The automation of labor-intensive picking and planting operations is having an immediate impact in the agricultural indutry. In its simplest form, robotic automation can reduce the labor and soil disturbance while enabling organic soil cover and increasing species diversification through precision approaches to planting, weeding, and spraying. With this, pesticides and fertilizers can be applied in a more targeted way, and with machinery visiting fields more frequently, earlier and more targeted intervention can occur before pests become established. Small, Mobile, and Autonomous Agricultural Robots identifies issues that need to be resolved fo for this technology to thrive, including improving methods of acquiring and labeling training data to facilitate more accurate models for specific applications. It also discusses concepts such as general-purpose mechanical platforms for use as carriers of agricultural automation systems with high stability, positional accuracy, and variable track, as well as the economics of moving capital intensive automation systems toward a service-provision business model. Click here to access the full SAE EDGETM Research Report portfolio.
Muelaner, Jody E.
San Francisco startup Canvas has developed a robotic system handling one of the most labor-intensive trades in construction: drywall finishing. Leveraging robotic arms from Universal Robots, Canvas has built a machine that reduces the usual five to seven days of spraying and sanding the drywall to just around two days for both Level 4 and Level 5 finishes.
A Northwestern University-led team of researchers has developed a new fuel cell that harvests energy from microbes living in dirt. About the size of a standard paperback book, the completely soil-powered technology could fuel underground sensors used in precision agriculture and green infrastructure. This potentially could offer a sustainable, renewable alternative to batteries, which hold toxic, flammable chemicals that leach into the ground, are fraught with conflict-filled supply chains and contribute to the ever-growing problem of electronic waste.
Employing multibody dynamic simulations with semi-empirical tire models is widely recognized as a cost-effective approach. A recent development introduces a novel road and tire-soil contact model that is not only swift and memory-efficient but also addresses limitations in classical semi-empirical models. This study conducts a thorough validation of the new road and contact model by creating a detailed multibody model of the four-wheeled vehicle, Fuel Efficiency Demonstrator (FED) – Alpha, integral to NATO's Next-Generation reference mobility model. The comprehensive model encompasses the chassis, suspension, tires, engine, transmission and various other components. Through simulations of various driving scenarios, accounting for complex terrain geometries, spatially varying soil properties, and multi-pass phenomena, the model's performance is evaluated. The simulation results are compared with physical measurements, providing a detailed assessment of the tire-soil model's predictive accuracy for wheeled vehicle mobility on deformable terrains.
Papapostolou, Lampros, Koutras, Evangelos, Leila, Felipe, Ribaric, Adrijan, Natsiavas, Sotirios
With the recent rise in electric vehicles and mobile devices, managing spent batteries has become a critical global challenge. By 2040, the number of decommissioned electric vehicles is expected to exceed 40 million, leading to a sharp increase in waste batteries. Developing advanced recycling technologies has thus become an urgent priority, as the metals in batteries pose a significant risk of soil and water contamination.
The chemical milling process used in the aerospace industry generates substantial metallic residue in the etching bath, referred to as chemical milling sludge (CMS). The direct disposal of CMS into the environment leads to ecological deterioration and economic losses. This study focused on the recovery of aluminum from the aerospace industry CMS, aiming to mitigate environmental harm and enhance resource efficiency. The energy-dispersive X-ray (EDX) analysis revealed that the aluminum content in extracted CMS increased significantly to 95.86%, compared to 28.98% in non-extracted sludge. The XRD analysis of the CMS extracted samples also revealed the presence of increased Al2O3. The surface morphology study suggested the irregularly shaped particles with large chunks, and fine granules were observed on CMS. The yield of Al2O3 was observed to be 35.9% (wt) prior to the calcination process followed by 12.1% (wt) after calcination. The phytotoxicity study indicated that the CMS inhibited plant growth and disposal of untreated sludge may lead to adverse impact on soil quality and disrupt ecosystem. This work contributes toward the sustainable waste management practices (i.e., waste to value) in the aerospace industry and recovery of valuable aluminum from the CMS.
Prasad, Jag, Sonwani, Ravi Kumar
The asphalt pavement plant mixing hot recycling technology not only reduces the consumption of natural resources by recycling discarded asphalt pavement, but also effectively saves economic costs. However, the composition of recycled asphalt pavement (RAP) materials exhibits significant variability, which hinders the widespread use of RAP in recycled asphalt mixtures (RAM). To address this issue, this article evaluated the variability of RAP with different rock types and the addition of new aggregates and asphalt-aggregate ratios, and developed intelligent software to determine the maximum allowable RAP content for different road grades. At the same time, homogenization measures such as classification and stacking of RAP should be taken to increase the RAP content. The results show that Basalt RAP exhibits more significant variability in grading and asphalt-aggregate ratio compared to Limestone RAP. Additionally, the variability in RAP grading is greater than that in asphalt-aggregate ratio. There is also some fluctuation in the ratio of newly added aggregates to asphalt, with the fluctuation of new aggregates being greater than that of new asphalt. The maximum RAP content determined by intelligent software is controlled by the RAP asphalt-aggregate ratio, and due to the greater variability of basalt RAP asphalt-aggregate ratio, its determined maximum content is smaller than that in limestone RAP. In addition, the homogenization treatment of RAP can reduce the coefficient of variation of the 4.75mm, 2.36mm, and 0.075mm sieve size pass rates of RAM by 3.65%, 3.25%, and 3.31%, respectively, while reducing the coefficient of variation of asphalt aggregate ratio by 1.21%. Through this homogenization measure, the factory can produce RAM with more stable gradation and asphalt aggregate ratio.
Shen, Zan, Du, Mengze, Xu, Sitian, Liu, Haining, Wang, Xianghong, Xu, Guangji, Zhao, Yongli
NASA has selected a team of University of Florida aerospace engineers to pursue a groundbreaking $12 million mission aimed at improving the way we track changes in Earth’s structures, such as tectonic plates and oceans.
A Dartmouth-led research team set out to determine if managing green roof soil microbes could boost healthy urban soil development, a methodology that could be applied to support climate resilience in cities.
Spaceflight outside of the Earth’s protective magnetic field is dangerous from a cosmic radiation perspective. Inside Earth’s magnetic field, where the manned International Space Station (ISS) orbits, the radiation encountered is minimal and almost all is deflected by our planet’s magnetic fields. However, outside that protective shield, the Sun’s solar wind (high energy radiation, solar energetic particles or SEPs) consisting of protons, electrons, alpha particles, and plasmas continuously bombards the spacecraft for the months or years of spaceflight.
Komatsu introduced its first battery-electric load-haul-dump (LHD) machine, the WX04B, at the MINExpo tradeshow in September. The WX04B is designed specifically for narrow vein mines in underground hard rock mining operations. Komatsu is pairing the electric LHD with its new OEM-agnostic 150-kW battery charger that was also revealed in Las Vegas. The 4-tonne WX04B LHD features what Komatsu claims is best-in-class energy density, offering up to four hours of runtime on a single charge. The Li-ion NMC (nickel-manganese-cobalt) battery from Proterra has a capacity of 165 kWh and nominal voltage of 660 V. Fewer charge cycles are needed compared to competitors, the company claims, which helps to maximize operational efficiency and minimize downtime. Proterra and Komatsu began their collaboration on the LHD's H Series battery system in 2021, long before Komatsu's acquisition of American Battery Solutions (ABS) in December 2023.
Gehm, Ryan
Researchers have taken the first steps toward finding liquid solvents that may someday help extract critical building materials from lunar and Martian rock dust, an important piece in making long-term space travel possible.
Imagine the Moon as a hub of manufacturing, construction, and even human life. It’s no longer a far-fetched idea baked in science fiction lore — increased interest and investment in space exploration are pushing efforts to develop the technologies needed to make the moon a viable home for humans.
Global warming has intensified environmental challenges such as more intense heat waves due to the accumulation of greenhouse gases, primarily carbon dioxide (CO2), which is heavily produced in power generation and transportation sectors, traps heat and raises the Earth’s temperature. Significant measures must be taken to reduce its production and impact on our environment. Hydrogen (H2) enrichment is a promising technology that enables higher thermal efficiencies and lower exhaust emissions. However, various parameters need to be optimized for internal combustion engines (ICE), which increases experimental and computational costs. The main goal of this work is to offer a reliable correlation that can be used as an input parameter for turbulent combustion models to enhance predictions and lower the cost of running simulations. Thus, the laminar burning velocity (LBV) of binary fuel mixtures is investigated numerically over a wide range of initial conditions (300–600 K and 1–11 atm) and mixture compositions. This facilitates a better understanding of combustion characteristics and establishes a reliable basis for developing an LBV correlation for C8H18/H2/air mixtures. It was found that as the H2 ratio (D) increases, the temperature exponent trend shifts toward a richer mixture, enabling higher values for lean mixtures and lower values for rich mixtures. This phenomenon is attributed to H2’s unique properties, which shift the point of maximum combustion intensity to richer mixtures. An opposite trend is observed and discussed for the pressure exponent of binary fuel mixtures. Given the nonlinear nature of binary fuel blends, a novel correlation is proposed that enables the direct estimation of LBV without requiring knowledge of the values of neat fuels. This new correlation provides accurate estimations across a wide range of initial conditions and mixture compositions, as confirmed by comparing its results with three mixing rules for binary mixtures and data points from the literature.
Almansour, Bader
Designing non-destructive test (NDT) systems for aerospace clients can feel like engineering with blindfolds on. Even when the parts under test aren’t confidential, they can change rapidly as companies optimize their designs. This accelerated innovation helps launch more powerful, safer vehicles for use inside Earth’s orbit and beyond. But how do you create precision inspection systems without knowing what they’ll inspect in the field?
A new robotic suction cup which can grasp rough, curved, and heavy stone, has been developed by scientists at the University of Bristol. The team, based at Bristol Robotics Laboratory, studied the structures of octopus biological suckers, which have superb adaptive suction abilities enabling them to anchor to rock.
In the last decades, the locomotion of wheeled and tracked vehicles on soft soils has been widely investigated due to the large interest in planetary, agricultural, and military applications. The development of a tire-soft soil contact model which accurately represents the micro and macro-scale interactions plays a crucial role for the performance assessment in off-road conditions since vehicle traction and handling are strongly influenced by the soil characteristics. In this framework, the analysis of realistic operative conditions turns out to be a challenging research target. In this research work, a semi-empirical model describing the interaction between a tire and homogeneous and fine-grained soils is developed in Matlab/Simulink. The stress distribution and the resulting forces at the contact patch are based on well-known terramechanics theories, such as pressure-sinkage Bekker’s approach and Mohr-Coulomb’s failure criterion. The force exerted by the soil on the sidewall of the tire is accounted through the Hegedus blade method. The radial flexibility of the tire is included following the approximated Bekker’s circle substitution method. The contact model is integrated in an 8 Degrees Of Freedom (DOF) vehicle for the simulation of conventional handling maneuvers adopting different soil characteristics on a flat road. A comparison between different driveline layouts is carried out in terms of longitudinal and lateral performance. Moreover, the vehicle is tested using tires with several geometrical and operational characteristics to highlight their influence on tractive and handling behavior.
Zerbato, Luca, Vella, Angelo Domenico, Galvagno, Enrico, Vigliani, Alessandro, Data, Silvio, Sacchi, Matteo Eugenio
Off-roading is the scenario of driving a vehicle on unpaved surfaces such as sand, gravel, riverbeds, rocks, and other natural terrain. Vehicle designed for that purpose requires jumping from height due to uneven surfaces/patches. This also requires them to sustain a high amount of loads acting upon them on impact. Thus, off-roading vehicles should not only provide intended vehicle dynamics performance but at the same time should be durable as well. Drop test which is done in a controlled environment is a widely used method to validate the durability of vehicle in such scenarios wherein the vehicle is dropped from a certain predefined height. In Multibody dynamics simulation, drop test was replicated and acceleration data computed at different locations in the vehicle were correlated with actual physical test data. Correlation was done for different drop heights. This paper presents relevant details of the virtual vehicle modeling, loadcase, test data & subsequent correlation. This correlation helps in building the simulation robustness which eventually helps improve design so as to be capable of overcoming such practical scenarios.
Kaka, Vaibhav, Jain, Arvind
The manufacturing landscape is undergoing a transformation, propelled by the need for innovative, efficient, and precise technology that can effectively replace expensive manual labor. This article examines advancements in Flexiv’s material abrasion technology, specifically focusing on sanding and polishing applications and the utility of force control technology.
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