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Letter from the Guest Editors
Mueller, Becky, Forman, Jason
Youth bicycle helmet manufacturers often add shell protrusions to make helmets more attractive or fun for children, yet the safety implications of these features are not well understood. While prior work suggests protrusions may affect head impact kinematics, no study has evaluated their effectiveness in location-matched impacts between helmets with and without protrusions. Twelve youth bicycle helmet models, with protrusions intact and removed, underwent matched oblique impacts at three locations and 4.2 m/s to capture resulting peak linear acceleration (PLA) and peak rotational acceleration (PRA). A linear mixed model was used to quantify the effect of protrusion presence on PLA, PRA, and impact duration. The youth bicycle helmet models produced a wide range of kinematics. Protrusion presence had a strong effect on PLA, PRA, and impact duration. PLA averaged 103.0 ± 22.8 g for helmets with protrusions compared to 143.9 ± 21.4 g for helmets without protrusions, while PRA averaged 4432 ± 1570 rad/s2 for helmets with protrusions and 5177 ± 2110 rad/s2 for helmets without protrusions. These findings suggest that helmet protrusions can reduce peak head accelerations in youth bicycle helmet impacts.
Jung, Caitlyn, Stark, Nicole E.-P., Rowson, Steve
Lower extremity injuries remain common in frontal motor vehicle crashes, with evidence suggesting increased vulnerability among female occupants. While prior research has established failure tolerances of midsize male lower extremities under bending and combined loading conditions, limited data exist for small female specimens. This study aimed to characterize and compare the failure tolerance of small female and midsize male postmortem human subject lower leg specimens under combined axial compression and posterior–anterior (PA) bending using consistent boundary conditions. Twenty-four lower leg specimens, including the tibia, fibula, and surrounding soft tissue, were obtained from 50th percentile male (n = 12) and 5th percentile female (n = 12) donors. Dynamic tests to failure were conducted at 1.5 m/s using a test apparatus designed to apply three-point bending in the PA direction with varying levels of superimposed axial compression (0, 2, 4, and 6 kN). When paired left and right legs from the same donor were available, they were assigned to different loading conditions to assess the influence of axial compression magnitude. Fracture timing was determined using force, strain, acoustic emission data, high-speed video, and post-test CT imaging. Results indicated that 18 specimens fractured at the tibial shaft, 5 near the potting interface, and 1 did not fracture. Under pure bending, mean failure moments were 255 ± 57 Nm for males and 156 ± 15 Nm for females. At 6 kN axial compression, failure moments decreased to 195 Nm and 72 Nm for male and female specimens, respectively. Among matched pairs, increasing axial load resulted in an average 21% reduction in bending moment at failure. These findings demonstrate reduced failure tolerance with increasing axial compression and highlight sex-based differences. The data provide a foundation for developing improved injury risk functions and scaling methodologies for diverse occupant populations as well as informing anthropometric test devices and human body models.
Carbon, Maria, Nazari, Isabella, Edinger, Timothy, Shin, Jeesoo, Hanggi, Connor, Kerrigan, Jason, Forman, Jason
Modern combat helmets improve wearer survivability through preventing ballistic penetration via delamination or deformation of the shell material. However, this deformation may impinge upon the skull and present a risk of behind-helmet blunt trauma (BHBT). While legacy aramid helmets from the late 1970s–1980s inform current NIJ testing standards, the advent of lower areal density ultra-high molecular weight polyethylene (UHMWPE) and modern suspensions may incur unknown changes that present an unknown effect on BHBT risk. This study investigates whether current standards relying on a peak acceleration threshold and residual clay deformation may not reflect changes in deformation geometry seen in newer shell materials and suspension designs. Thirty-eight helmets categorized into three groups, older aramid, newer aramid (with new suspension), and prototype UHMWPE (with old suspension), were mounted on Hybrid III ATD head-necks and impacted on the temporal surface with 9 mm NATO projectiles at velocities between 388 and 482 m/s. Flash x-ray imaging captured deformation geometry. Deformations were digitized to measure maximum depth, volume, and surface area recruited. Multiple linear regression identified the influence of shell material and suspension on geometry. Results indicated that shell material significantly affected deformation volume and area (p < 0.05). Notably, UHMWPE exhibited a qualitatively more “pointed” deformation profile compared to aramid, recruiting material differently as depth increased. In contrast, suspension type and helmet design did not significantly influence deformation geometry. These findings suggest that the BHBT geometry in UHMWPE helmets differs fundamentally from aramid helmets. As UHMWPE helmets encounter higher-energy threats, current acceleration threshold or depth-based standards may not fully capture the risk of skull fracture. To future-proof helmet validation, testing standards should evolve beyond current standards to include area recruitment and other geometric measures.
Pang, Derek Y., Salzar, Rober S., Boggess, Brian M., Bass, Cameron R.
Instrumented mouthguards (iMGs) capture thousands of head acceleration events in contact sports, though processing the data from these into meaningful information remains a challenge. To bridge this gap, we developed a principled clustering pipeline to extract concise kinematics that are representative of real-world impact scenarios. We evaluated six multivariate time-series distance metrics using k-medoids clustering and a dataset of 5149 impacts across three sports: mixed martial arts, boxing, and rugby union. Model performance was evaluated using a Coverage Quality Score (CQS), prioritizing reconstruction coverage and cluster separation. Joint Shape-Based Distance (SBD) significantly outperformed all other metrics, including Dynamic Time Warping (DTW), driven primarily by superior reconstruction coverage. The methodology yielded two complementary archetypes. First, a 36-impact canonical set provides distinct medoids representing core kinematic mechanisms; however, distributional checks confirm these medoids alone do not reproduce cohort severity distributions. To resolve this, we generated a second, extended impact set sampled proportionally within clusters along specific severity axes (e.g., peak acceleration and whole-brain strain). This targeted sampling recovers full severity-distribution fidelity using fewer than 150 impacts per dataset. Ultimately, this framework successfully distills large iMG datasets into manageable cohorts providing a scalable solution for assessment, experimental targets, and finite element simulations.
Koumantou, Eleni, Chan, Emily Yik Kwan, Jones, Chris M., Austin, Kieran, Loosemore, Mike, Ghajari, Mazdak
Robust restraint system design requires effectiveness across varied anthropometries. Biofidelity reference datasets of postmortem human surrogates (PMHS), a necessary component of informing and assessing restraint system design, exist for the midsize males and small females, but there is limited research for other anthropometries such as the midsize female and obese populations. The goal of this study was to evaluate the kinematic and injury response of midsize female, elderly midsize female, obese female, and obese male PMHS in upright frontal impacts in a simplified restraint environment. The test condition in this study was a full-frontal 30 km/h impact. The test fixture consisted of a rigid seat, knee bolster, footpan, a custom 3 kN shoulder belt force limiter, and separate shoulder and lap belts. Twelve tests were performed with PMHS of varied anthropometries: three per occupant type (midsize female, elderly midsize female, obese female, and obese male). The restraint environment limited the movement of the lower extremities, isolating the thoracic response. Shoulder belt lengths and positioning varied by occupant type. Peak shoulder belt force values ranged between 2.8 and 4.4 kN. Differences in soft tissue distribution (including the hips, abdomen, and breasts) affected both the pre-test path of the shoulder belt on the thorax and the belt’s subsequent motion relative to the thorax during the test. Rib fractures were observed across all four occupant types ranging from 0 to 19 fractures. Occupant anthropometry affected the impact and injury response of the PMHS in this study, demonstrating the breadth of the population over which restraint system robustness is required.
Gallaher, Mary K., Donlon, John-Paul, Nazari, Isabella L., Mann, Logan M., Hollar, Reagan T., Sochor, Sara H., Noss, Junior R., Forman, Jason L.
Biomechanical response targets for the thorax have largely focused on the 50th percentile male, limiting their relevance for smaller females. Previous studies have provided side-impact female postmortem human subjects (PMHS) data from either oversimplified or realistic boundary conditions. This study aimed to generate thoracic biomechanical responses of small female PMHS in a simplified side-impact condition with realistic components and compare responses between two input energy levels. Twelve small female PMHS were seated on a simplified seat with FMVSS No. 213a seat foam and fabric and impacted once on the left thorax with either a 14.0 kg (low energy) or 23.7 kg (high energy) pneumatic impactor at 4.5 m/s. A rectangular impactor face (22.9 × 25.4 cm) covered with FMVSS No. 213a armrest foam simulated an intruding door panel. Thoracic deflection was measured using a chestband. Inertially compensated force was recorded via a load cell. Spinal kinematics were captured using six-degree-of-freedom motion blocks. Biomechanical responses were compared between groups using two-sample t-tests. The high-energy group exhibited significantly higher peak forces (2.5 vs. 1.9 kN, p = 0.0001), greater thoracic deflections (41.0 vs. 33.9 mm, p = 0.016), and increased deformation energy (91.6 vs. 61.0 J, p = 0.0001). Effective stiffness did not differ significantly between groups (p = 0.734). Energy loss increased with impact severity (66.2 vs. 56.7%, p = 0.020). Kinematic responses also increased with increased input energy. Peak y-accelerations were significantly greater at T4 in the high-energy group (p = 0.049). The sternum exhibited significantly greater peak z-angular velocity in the high-energy group (p = 0.038). Mean BioRank System Score (BRSS) of the force–deflection corridors between groups was 0.93. In summary, these findings provide essential biomechanical data and establish an important foundation for developing improved testing conditions and advancing the evaluation of female human body models (HBMs) and anthropomorphic test devices (ATDs) in side-impact scenarios.
Anantharamakrishnan, Srinivas, Kemper, Andrew, Baker, Gretchen H., Guettler, Allison J., Rhule, Heather, Kang, Yun-Seok, Agnew, Amanda M.
Fifteen research posters were prepared and presented by student authors. The posters covered a wide breadth of works-in-progress and recently completed projects. Topics included a variety of body regions and injury scenarios: Assessment of Layered Seat Cushion Configurations for Underbody Blast Protection Quantifying Head Impact Exposure in Collegiate 15s Rugby and Relationship to Clinical Measures Elderly Fatality in CIREN Cases: A Matched-Case Review The Relationship between Injury Risk for Child, Teen, and Adult Pedestrians in Collisions Preceded by PAEB Activation and PAEB Pulse Characteristics Quantifying Kinematic and Vibrational Responses in Hockey-Style Catcher’s Mask Incorporating Cortical Bone Property Variability into Simulations of Isolated Ribs under Anterior–Posterior Bending Lacrosse Ball Impacts on Women’s Headgear Mechanical Characterization of the Liver and Kidney: A Systematic Review Quantifying Changes in Mouthguard–Dentition Fit to Support Head Impact Measurement Validity Whole-Body MRI to Assess Perfusion Success and Soft Tissue Injuries in PMHS Subjected to High-Rate Loading Quantitative CT and MRI-Based Modeling Assessment of Spine Injury Risk Following Long-Duration Spaceflight An Investigation of Local Accelerator Pedal Geometry Effects on Ankle Motion How Do Different Human Body Models Affect Occupant Impact Responses and Restraint Design Optimizations in Frontal Crashes? The Potential Effects of Youth Hockey Helmet Shell Add-Ons Evaluation of Surrogate Soft Tissue Candidates for Biofidelity and Durability
Forman, Jason, Mueller, Becky
Globally, approximately 11 million pedestrian impacts each year result in injury or death. The lower extremity is the most frequently injured body region in pedestrian impacts, and these injuries often lead to long-term disability. To better understand lower-extremity injury risk, biomechanical testing of the leg and tibia has previously been conducted. However, this work has mainly focused on males, despite females having a higher risk of sustaining lower-extremity injuries in these loading events. This study aimed to evaluate the effects of sex and age on biomechanical properties of the isolated human tibia in a diverse sample. Sixty-six tibiae from 35 females and 31 males with similar age distributions (p > 0.05; females = 68.8 ± 3.4 years; males = 59.8 ± 4.0 years) were utilized. Tibial diaphyses were loaded to failure at 6 m/s in lateral–medial four-point bending to replicate vehicle bumper interaction in pedestrian impacts. Reaction forces were measured at each end of the bone. Proximal and distal moments were calculated as the product of reaction force and the distance from the axis of rotation to the nearest impact site. Peak bending moment at midshaft was further calculated as the maximum of the average proximal and distal moments. Strain at time of fracture was determined from axial strain gages on the lateral and medial bone surface between impactor locations. Maximum deflection was normalized by specimen length and area moment of inertia. Males exhibited significantly greater peak moments than females (p = 0.001). In the full sample, age demonstrated a weak but significant negative relationship with peak moment (p = 0.013, R2 = 9.3%); however, no significant age relationship was observed when males or females were analyzed separately. Male tibiae had a significantly greater deflection than female tibiae (p = 0.001), but no significant sex difference was observed with normalized deflection. Age was strongly and negatively associated with deflection in the full sample (p < 0.0001, R2 = 39.7%), and for males (p < 0.0001, R2 = 44.8%) and females (p < 0.0001, R2 = 25.4%) separately. No significant sex differences were observed for tensile strain at fracture. However, age had a significant negative relationship with tensile strain in the full sample and within each sex (p < 0.0001). Further investigation with larger sample sizes is needed to characterize the interacting effects of sex, age, and size. Overall, this work advances understanding of tibial biomechanics and provides insight for improving pedestrian safety tools including anthropomorphic test devices and human body models.
Spangler, Jonathon, Agnew, Amanda, Kang, Yun-Seok, Kemper, Andrew, Hunter, Randee, Baker, Gretchen, Guettler, Allison, Harden, Angela
2025–2026 Reviewers
Hardy, Warren
The performance of Midwest Guardrail Systems (MGS) during impact with electric vehicles (EVs) has raised concerns with recent observations demonstrating a higher susceptibility to rail failures. These failures are hypothesized to be related to EV-specific design, including variations in front-end geometry and inertial properties. Current guardrail evaluations rely on two vehicle types, a small car and a pickup truck, potentially overlooking sensitivity to front-end geometry variations, potentially leading to unanticipated impact responses. Additionally, the extent to which geometry influences occupant injury risks and trends during vehicle-guardrail impact remains insufficiently investigated. The objective of this study is to quantify the influence of vehicle front-end geometry on occupant injury risk during vehicle-guardrail impacts using finite element (FE) simulations. Occupant injury risk is analyzed using Hybrid III anthropomorphic test device (ATD)-based injury criteria and flail space-based vehicle severity metrics to identify trends and relationship between geometric variations and injury probability. Front-end geometry data from the Insurance Institute of Highway Safety (IIHS) were analyzed to identify parameters and ranges associated with adverse MGS performance. Based on vehicle alignment with the W-beam, hood leading-edge height, hood leading-edge angle, and bumper height were morphed on the Toyota Yaris model. A Latin Hypercube Design of Experiments generated 13 unique configurations for detailed analysis. Full-scale Manual for Assessing Safety Hardware (MASH) Test Level 3 FE simulations were then performed between the morphed vehicle models integrated with Hybrid III 50th percentile male ATD and MGS guardrail. Occupant injury metrics were evaluated alongside vehicle-based crash severity measures. All vehicle geometries fulfilled MASH criteria with occupant impact velocity (OIV) and occupant ride down acceleration (ORA) within tolerance with no rail rupture. Simulations suggest that probability of serious full-body injury (AIS3+) was estimated at 17.11% while probability of severe neck injury was the highest at 15.64% among the component level probabilities. While front-end geometry influences occupant kinematics, resulting injury metrics and vehicle-guardrail interaction characteristics, it does not independently govern occupant injury risk. Although, the MASH tests have the same outcome as the geometries studied, the changes in EV inertial properties could interact with the geometry leading to barrier failure, which will be explored in future work.
Bubna, Maheep, Buckland, Elijah, Riexinger, Luke E., Untaroiu, Costin
Pilon fractures are a severe lower-extremity injury sustained in motor vehicle crashes, characterized by high-axial loading that drives the talus into the tibial plafond and frequently results in poor long-term functional outcomes and post-traumatic osteoarthritis (PTOA). Despite advances in surgical management, clinical complications remain frequent in 20–50% of cases in literature, which highlights the need to identify modifiable upstream risk factors in the motor vehicle crash environment. The Abbreviated Injury Scale (AIS) is the predominant tool for crash injury severity analysis, and it classifies all closed pilon fractures uniformly as moderate (AIS 2) regardless of comminution or imparted energy and poorly predicts long-term functional outcomes. An existing fracture energy severity metric quantifies the acute mechanical energy delivered to bone during fracture and has been linked to PTOA development. This study represents one of the first multivariate applications of the fracture energy metric to crash data, examining how occupant demographics, crash kinematics, and vehicle safety systems relate to pilon fracture severity. Fifty belted occupants with Orthopaedic Trauma Association (OTA) Type B or Type C pilon fractures were identified through the Crash Injury Research and Engineering Network (CIREN) database. Fracture fragment surface models were generated from clinical computed tomography (CT) and used to compute fracture energy severity through a custom MATLAB script. A generalized linear model with a gamma log link was fit using seven predictors: age, delta-v, knee bolster airbag (KBAB) deployment, fracture loading mechanism, biological sex, osteoporosis, and body mass index (BMI). KBAB deployment and pure axial compression loading were both significantly associated with higher fracture energy (p = 0.011 and p = 0.002), and age approached an inverse association (p = 0.086). These findings establish the fracture energy metric as a viable tool for crash injury analysis and suggest that certain vehicle safety system characteristics warrant further investigation as modifiable factors influencing pilon fracture severity.
Northrup, Samuel, Bangert, L. Garrett, Armstrong, William, Stitzel, Joel D., Martin, R. Shayn, Dibbern, Kevin, Anderson, Donald D., Weaver, Ashley A., Collins, Caitlyn J.
The widespread use of explosive weapons in recent military conflicts has contributed to an increased incidence of traumatic brain injuries. Although current infantry helmets provide effective protection against fragmentation, ballistic impact, and blunt trauma, they are not designed to mitigate primary blast loading. Previous studies suggest that blast waves may infiltrate the space between the head and helmet, leading to localized increases in pressure on the head surface, a phenomenon referred to as the underwash effect. However, experimental validation of the underwash effect remains limited, particularly for blast scenarios representative of buried-charge detonations, despite their potential to increase underwash-related loading across large regions of the cranial surface. This study experimentally evaluated the effects of combat helmet use, blast orientation, and blast intensity on head surface loading to assess helmet protective performance across various blast scenarios. A human surrogate headform instrumented with four flush-mounted pressure sensors was exposed to blast overpressures of approximately 16 and 24 psi using a large advanced blast simulator. Tests were conducted at 0° and 45° head orientations (rotation about the transverse axis), both with and without a combat helmet, with three repetitions per combination of experimental conditions. In the 0° orientation, helmet use reduced loading at the forehead and anterior head but increased loading at the posterior region. In the 45° orientation, helmet use led to increased peak pressure and total impulse at all measured locations. Increasing the blast intensity resulted in similar trends for both orientations and helmet conditions but with greater peak pressures and total impulses at each measured location. These findings suggest that certain blast orientations exacerbate the underwash effect and amplify cranial loading beneath the helmet. This work advances understanding of orientation-dependent blast loading, highlights limitations in current helmet performance, and offers guidance to support the development of future protective technologies.
Nelson, Allison J., Burt, Ethan T., Hamilton, Joseph M., Espinoza, Kenny J., Magallanes, Joseph, VandeVord, Pamela J.
Pelvis fractures can be complex and occur in many different regions of the bone. Loading due to side impact can transfer anteriorly through the pubic symphysis and posteriorly through the sacroiliac joint. Virtual testing with human body models (HBMs) has the potential to capture the complex loading mechanisms that contribute to pelvis fractures, but injury prediction with HBMs must be refined and validated using physical test data. Most postmortem human subject (PMHS) studies testing side-impact and pelvic injuries use simplified test modes rather than simulating realistic boundary conditions. It is important to understand the differences between pelvis fractures resulting from in-lab tests and those sustained in real-world collisions, particularly for when these PMHS tests are used in injury risk function development to predict injuries caused by collisions in the real world. This study seeks to compare injury types and loading mechanisms from existing PMHS tests to those observed in real-world side-impact collisions from Crash Injury Research and Engineering Network (CIREN) to examine their suitability for refining HBM injury prediction for the pelvis. Seventy-seven percent of PMHS tests with injuries had fractures in the anterior region of the pelvis, 23% in the iliac wing, 30% in the sacroiliac region, and 16% in the acetabulum, where a PMHS test could have fractures in multiple regions. Fractures were divided into primary- and secondary-side fractures, where the primary side was defined as the side impacted in a PMHS test and the side closest to the crash in a CIREN case. A higher proportion of cases with secondary-side acetabulum and sacroiliac pelvis fractures was observed in CIREN compared to PMHS tests, which may be related to interaction with structures in a vehicle environment. A pattern of “squeezing” the pelvis between the intruding door and the center console in near-side crashes was observed.
Nazari, Isabella, Heo, Jaehyuk, Gepner, Bronislaw, Forman, Jason
CTI 4501 defines the key capabilities and interfaces a connected signalized intersection must support to ensure interoperability with vehicles, including production vehicles, for state and local Infrastructure Owner Operators (IOOs). A connected intersection is defined as an infrastructure system that broadcasts SPaT, MAP, and optionally position correction data to vehicles. The CTI 4501 family of documents define procurement and implementation guidance and the expectations leading to minimum performance requirements for a connected intersection. It is intended to be used by IOOs to provide guidance on how to implement an interoperable connected intersection. For OEMs and other application developers, these recommended practices provide an explanation on what data and connected vehicle messages are being provided from an interoperable connected intersection so safety applications can be developed for production vehicles, with an initial focus on the Red Light Violation Warning (RLVW) application. Although the focus is on the RLVW application, requirements for other V2X applications related to connected intersections, including requirements for traffic signal controllers to generate the SPaT information, are also addressed assuming the connected intersection configuration and messages can support them and no significant effort was needed. The Needs to Requirements Traceability Matrix (NRTM) in CTI 4501, 6.2.3, provides the guidance to IOOs for the procurement of a connected intersection. Recognizing that some stakeholders require more in-depth guidance on specific aspects of connected intersections, Version 2 of the CI Implementation Guide has been reorganized into a main document and several companion subdocuments. The main document establishes the overarching framework following a Systems Engineering Process (SEP), and includes a Concept of Operations (ConOps), System Requirements (Functional Requirements), System Design Details, and a Needs to Requirements Traceability Matrix (NRTM). These elements enable users to identify and procure connected intersection solutions that satisfy their specific needs. The companion documents elaborate on specialized areas such as SPaT, MAP, security, and testing and validation, providing requirements and design details tailored for those subject areas. Figure 1 depicts the relationships among these subdocuments and other documents that support the implementation of a connected intersection. By separating out these focused topics, the guide more effectively supports Infrastructure Owner Operators (IOOs), OEMs, suppliers, and application developers who need targeted information. Taken together, the main guide and the companion documents ensure that connected intersection deployments align with national standards and support a high level of interoperability, ultimately facilitating safer and more efficient automated transportation systems. This Testing and Validation Guidance Document focuses on providing guidance on developing a verification plan to confirm that an implementation fulfills all the requirements for a connected signalized intersection. This document defines what should be included in, and examples of content that should go into a verification plan. For IOOs, this document provides actionable guidance on developing test documents to verify an implementation for interoperability. The contents of this document are NOT standardized test methods, test cases, or test procedures; instead, the contents are EXAMPLES of what might be in a verification plan. The specific test approach, test scope, test cases, and test procedures in a verification plan will vary by IOO based on its specific test approach, procedures, and policies. For OEMs and developers, how an IOO will verify an implementation such that the connected vehicle messages broadcasted from compliant intersections enables the development of standards-based safety-critical applications such as Red Light Violation Warning (RLVW). Users are encouraged to refer to the main CTI 4501 document for overarching ConOps, system needs, and operational context while leveraging this Testing and Validation guide for verification and validation activities. Other companion documents, such as CTI 4501/1 - SPaT Messages and CTI 4501/2 - MAP Messages, also contain content about connected intersection testing in Section 8. However, CTI45014 provides the overview and philosophy of developing a testing framework in Section 8, while the companion documents provide topic specific examples.
Connected Transportation Interoperability Committee
This SAE Standard applies to upper coupler kingpins for commercial trailers and semitrailers in the unladen condition. See Figure 1. A 90 degree ± 1 degree angle extends (in all directions) from the centerline of the kingpin to the upper coupler plate surface within a 48.26 cm (19 inch) radius. The upper coupler plate surface should not bow downward (convex) more than 0.635 cm (1/4 inch) within a 48.26 cm (19 inch) radius or more than 0.3175 cm (1/8 inch) at a radius of 25.4 cm (10 inches) from the kingpin. The upper coupler plate surface should not bow upward (concave) more than 0.15875 cm (1/16 inch) within a 48.26 cm (19 inch) radius. (See Figure 2.)
Truck and Bus Total Vehicle Steering Committee
This SAE Aerospace Information Report (AIR) defines the materials, strength, and finishes utilized in linear hydraulic flight control actuators.
A-6B1 Hydraulic Servo Actuation Committee
The purpose of this document is to provide information regarding performance, use, and quality of the Quick Donning Crew Oxygen Mask assembly with an integrated Regulator (QDCOMR). This document is intended to guide the user through a selection of requirements and validation and verification methods for the QDCOMR. This document lists minimum standards, but it is not intended to be exhaustive. The QDCOMR is in use on the flight deck of civil aviation aircraft and protects the flight deck crew from hypobaric hypoxia and could protect from smoke and toxic gases. The QDCOMR is distinct from the continuous flow oxygen masks. Firefighting, therapeutic, and military applications are excluded. The device can be of the oronasal type and comprises at least the following components: A facepiece, including an integrated demand regulator A flexible oxygen supply hose An attachment harness Separated or integrated goggles, or without goggles Provisions for installation Some designs may include additional components (for example, a microphone).
A-10 Aircraft Oxygen Equipment Committee
This SAE Aerospace Recommended Practice (ARP) describes a procedure for determining the insoluble contamination level of the downstream side of cleanable filter elements. The results may be used for comparative evaluation of the effectiveness of various cleaning methods or the cleanliness of elements after cleaning or as received from manufacturers.
A-6C1 Fluids and Contamination Control Committee
This SAE Standard applies to all self-propelled machines with a gross vehicle mass greater than 5000 kg that are utilized to clean material from highways, parking lots, airfield runways, outside paved areas that are principally exposed to vehicular traffic. These machines can also be involved with road construction or repaving work. Primary methods for material removal and cleaning can be by mechanical, pneumatic, washing and flushing systems, or in a combination of any system.
MTC2, Sweeper, Cleaner, and Machinery
This SAE Standard applies to all self-propelled machines with a gross vehicle mass up to 5000 kg that are utilized to clean material from outside paved areas, parkland, floors in non-residential buildings and areas principally exposed to pedestrian traffic. Primary methods for material removal can be by mechanical, pneumatic, washing and flushing systems, or in a combination of any system.
MTC2, Sweeper, Cleaner, and Machinery
This SAE Recommended Practice applies to fifth wheel kingpins for heavy-duty commercial trailers and semitrailers, used for off-highway operation or in hauling heavy loads (see Figure 1).
Truck and Bus Total Vehicle Steering Committee
This SAE Standard applies to the fuel consumption of non-propulsion engines used to drive exclusively the sweeping and cleaning functions of multi-engine sweepers and scrubbers as defined in SAE J2130-1 and SAE J2130-2.
MTC2, Sweeper, Cleaner, and Machinery
The face milling process for hardened steels used in die and mold manufacturing involves precise parameter settings to achieve high-quality surfaces with high productivity. However, due to the nonlinear relationship between the machining parameters, it becomes challenging to optimize the machining process. This paper focuses on optimizing the face milling parameters for the DIN 2714 hardened steel by employing experimental approaches and AI-based modeling techniques. Taguchi’s L9 orthogonal array-based design of experiments with machining parameters of depth of cut, cutting speed, feed rate, and step-over is employed for the optimization. The material removal rate (MRR) and surface roughness (Ra) were considered as output responses. The results showed that surface roughness is significantly affected by cutting speed, while depth of cut primarily controls MRR. To improve the precision in predicting the output responses, two artificial intelligence (AI) based intelligent models were developed using hybrid modeling techniques—namely, PSO-FIS and GA-FIS. The experimental results demonstrated that the GA-FIS model was accurate in predicting the output response for surface roughness (Ra), with a lower error value (0.0162 μm), while the PSO-FIS model was accurate in predicting MRR with a high R2 value (0.9997), proving that fuzzy modeling techniques can be effectively used to optimize machining operations with high precision.
Tripathy, Chitta Ranjan, Moudgil, Prince Kumar, Katyayn, Arvind, Kumar, Aman
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
Multiple statistical methods were evaluated to determine the most suitable approach to gauge whether a gasoline deposit control additive (DCA) causes a statistically significant increase in rate of stochastic preignition (SPI) in a direct injection, turbocharged, spark ignition (SI) engine. SPI is an abnormal combustion phenomenon observed at highly boosted conditions in turbocharged SI engines. The high in-cylinder pressures observed during an SPI event have the potential to cause physical damage to the engine. The SPI rate is a function of engine operating conditions as well as fuel and oil properties. DCAs are commonly used in commercial gasoline at very low concentrations (20–200 ppm m/m) to prevent the buildup of carbon deposits in the combustion chambers and fuel systems. Since the effect of DCAs on SPI rate can be subtle and the data inherently stochastic, a controlled engine test methodology with robust statistical analysis is required to conclusively determine whether a gasoline detergent increases or mitigates the rate of SPI occurrence. Therefore, the TOP TIER™ Standardized Dynamometer Test Method to Evaluate Additized Detergent Gasoline for Stochastic Pre-Ignition (hereafter referred to as the TOP TIER™ Additive SPI Test Protocol) described herein is designed to gauge whether a gasoline additive causes a statistically significant change in the SPI rate at a controlled operating condition as compared to unadditized gasoline. This study focuses on the statistical analysis portion of the test protocol. Multiple statistical approaches were evaluated using data from the TOP TIER™ Additive SPI Test Protocol to determine the most appropriate and robust approach for detecting a statistically significant difference in SPI rates. The analysis included the two-sample (unpaired) t-test, linear mixed-effects models (LMMs), the Mann–Whitney U test, and the permutation test. The results indicated a combination of permutation paired with Wilkinson’s method as the most suitable approach.
Gopujkar, Siddharth, Davis, Richard, Zhang, Kui, Reilly, Veronica, Studzinski, William
The guiding hypothesis for this project is that wheelchairs compliant with RESNA WC19 voluntary standards for vehicle crashworthiness could meet aircraft seating crashworthiness standards specified by the FAA. This article documents methods and results of static testing. Companion efforts for dynamic horizontal and vertical dynamic testing are reported elsewhere [1]. Surrogate 4-point-strap tiedowns secured the wheelchairs in all tests, using the geometry specified for WC19 testing. Nine different commercial wheelchairs, representing a range of designs, were tested using adapted versions of FAA procedures for static loading in five directions. Occupant restraint conditions included both a wheelchair-anchored lap belt and a floor-mounted lap belt. Tested wheelchairs met static requirements for integrity and deformation, despite multiple tests conducted on the same wheelchair. These results support future use of personal wheelchairs as seating on aircraft, provided the wheelchairs meet WC19 requirements. Additionally, the wheelchairs must be secured with 4-point-strap tiedowns, and occupants should be restrained using both a wheelchair-mounted belt and a supplemental lap belt anchored to the aircraft.
Orton, Nichole R., Manary, Miriam A., Vallier, Tyler, Boyle, Kyle J., Klinich, Kathleen D.
This specification covers an aluminum alloy in the form of sheet and plate 0.020 to 2.000 inches (0.51 to 50.80 mm), inclusive, in nominal thickness, supplied in the annealed (-O) condition. When specified, product shall be supplied in the “as fabricated” (-F) temper (see 8.6).
AMS D Nonferrous Alloys Committee
This specification covers an aluminum alloy in the form of sheet less than 0.250 inch (6.35 mm) thick (see 8.5).
AMS D Nonferrous Alloys Committee
This specification covers a titanium alloy in the form of bars and hand forgings up through 10.000 inches (254.00 mm), inclusive, in diameter or least distance between parallel sides and forging stock of any size. Bar over 6.000 inches (152.40 mm) in nominal thickness has a maximum cross-sectional area of 288 square inches (1858 square cm). Hand forgings with nominal thickness over 6.000 inches (152.40 mm) have a maximum cross-sectional area of 79 square inches (509 square cm) (see 8.7).
AMS G Titanium and Refractory Metals Committee
This specification defines the requirements for in-process and temporary marking material used on nickel, iron, cobalt, and titanium-based turbine engine components during processing or manufacture. Control is required as marking material may contain deleterious or low melting point elements that could negatively affect performance.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a titanium alloy in the form of bars, wire, and forgings up through 4.000 inches (101.60 mm), inclusive, in diameter or least distance between parallel sides and forging stock of any size (see 8.6).
AMS G Titanium and Refractory Metals Committee
Vehicle dynamics during autonomous driving can cause passenger discomfort as well as motion sickness. This article introduces an energy-efficient vehicle attitude control method through load resistance control in a hydraulic–electric energy-harvesting suspension. A thorough study on how external load resistance affects a vehicle’s pitch, roll, and vertical acceleration has been conducted without requiring additional energy input. To analyze the effects that the variation of load resistance has on vehicle attitude, a 10 DOF vehicle model and a hydraulic–electric energy-harvesting suspension have been developed. The relationship between load resistance and vehicle attitude is defined and experimentally demonstrated in slalom tests under real-world conditions. The results demonstrate that reducing the load resistance from 70 Ω to 30 Ω reduces peak roll angle by 33.9% and peak pitch angle by 30.4%, while the RMS values are reduced by 46.2%, 28.6%, and 28.6% for roll angle, pitch angle, and vertical acceleration, respectively. A frequency-domain analysis shows that these improvements are achieved without shifting vibrational energy into the 4–8 Hz range most perceptible to humans. This systematic approach provides an energy-efficient way to improve vehicle stability and ride comfort, with potential implications for reducing motion sickness in autonomous driving systems. The quantitative relationship between load resistance and vehicle attitude provides a new understanding of the dynamics of a vehicle with energy-harvesting suspension systems.
Fan, Zhengwu, Liu, Wenbo, He, Mengfan, Xu, Guangzhao, Wu, Zhifei
Traffic oscillations degrade the operational efficiency and safety of vehicular platoons. This study proposes a predecessor-following platoon with periodically assigned feedback gains and investigates its frequency-selective disturbance attenuation mechanism. An auxiliary second-order undamped periodic model is first established, and the Bloch–Floquet formulation is used to derive the nominal dispersion relation and bandgap boundaries. Closed-loop disturbance attenuation is then evaluated separately using spacing-error transfer matrices that retain positive velocity feedback and actuator-response lag. Frequency-domain transmission analysis and time-domain simulations show that, under nominal homogeneous and fully controllable connected and automated vehicle (CAV) assumptions, the periodic gain configuration creates tunable attenuation bands and provides stronger downstream attenuation than a homogeneous-gain configuration. The results clarify the relationship among periodic gain assignment, bandgap formation, periodic-cell string stability, and finite-length traffic-wave suppression. The effects of vehicle heterogeneity, sensing delay, and mixed traffic remain topics for future investigation.
Yang, Xiujian, Fan, Yanwen, Zhuang, Qingyuan, Qiao, Feiyu
In marine combustion engines, it is important to minimize fuel consumption and reduce toxic emissions. One method to achieve this is minimizing friction losses in the injection subsystem, which is why measuring them is necessary. Some friction force values in precision pairs are so high that they require specialized methods and measurement stations. This article presents innovative methods and devices for measuring high friction and high power forces between the body and the needle of injector nozzles in the presence of a lubricant. The scientific method consists of increasing the load applied to the needle pin located in the nozzle body until it is completely ejected from the body. The devices that determine the course and maximum value of the friction force utilize test benches for dynamic tensile strength testing samples, employing specially designed and manufactured holders. When the fastening of the pin holder proved insufficient due to slippage, a semicircular groove was made around the circumferential needle pin. Round balls were inserted into the pin’s innovative mounting screw holes, recessed into the circumferential groove by about half their diameter, which is an important contribution by the authors. The maximum friction force was determined from the recorded signal, depending on the displacement or time waveform. The friction force depends on the needle’s position relative to the nozzle body; therefore, it is recommended to take measurements in at least four planes and compute the average. Different friction force values are caused by errors in the roundness and concentricity of the injector nozzle body guide part relative to the needle, as well as deposit formation. This article presents the influence of the state of the friction surfaces, as determined by modern geometric measurements of the cooperating elements, including computed tomography scans and silicone casts, on the maximum friction force value and modeling.
Monieta, Jan, Komorowski, Adam
Methyl-terminated oxymethylene ethers (OMEs) have garnered significant attention as promising low-carbon alternatives to conventional petroleum-based diesel fuels. Nevertheless, their physicochemical properties frequently fail to satisfy the stringent specifications of current diesel fuel standards, which impedes their direct adoption in modern compression ignition engines. Structural modification of OMEs, particularly through the variation of terminal alkyl moieties, provides a viable strategy for tuning their properties to meet the required performance criteria. This review consolidates and critically evaluates the available literature on the physicochemical and performance characteristics of OMEs featuring diverse molecular architectures. In addition, it delineates existing knowledge gaps and identifies key areas warranting more in-depth future research. The number of published studies in this area is extremely limited, as research in this field is still essentially at an early stage; therefore, the present review has been classified as a mini-review.
Cherepanova, Anna D., Ukhanov, Denis A., Khrapov, Alexander G., Dement’ev, Konstantin I.
Letter from the Guest Editors
Ivanov, Valentin, Gunji, Daisuke, Savitski, Dzmitry, Zhu, Yueying
2
Guo, Zili, Gao, Sihong, Liu, Yuhan, Wang, Pengyu, Guo, Yanning
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
Reliability testing and validation are essential parts of any automobile development project. These tests mainly depend on two things: how much of the product’s target life is covered and whether enough samples are tested to capture variations. Today, most projects face tight timelines and cost constraints, which makes it important to design an optimized reliability test plan. Accelerated testing is widely used to reduce testing time, but finding the correct acceleration factor for a complex system like an automotive engine is difficult. Existing studies describe methods such as simple stress tests, step-stress tests, and degradation tests to shorten test duration. However, these methods need more samples at different stress levels to establish a clear relationship between stress and life and then calculate the acceleration factor. While such models work well at the component level, they become much more complicated at the system level because different components can have different acceleration behaviors. In this paper, a method is proposed to derive the acceleration factor by correlating engine test bed data with field failure and usage data. Test engineers often use standard accelerated test cycles for engines used in similar applications. As a result, organizations usually have historical test data and field data from earlier, similar products. The proposed approach models accelerated test data and field failure data separately and then links them to determine the acceleration factor. This derived factor can later be used in future engine development projects to convert test cycles into equivalent field mileage coverage. Weibull analysis and regression techniques are used to support the case studies presented in this work.
Koulage, Dasharath Baliram, Mondal, Kanchan
The low-altitude economy has been established as a strategic emerging industry, driving the development of various new aircraft types, including electric vertical take-off and landing (eVTOL) vehicles and industrial unmanned aerial vehicles (UAVs). In this development, proton exchange membrane fuel cell (PEMFC)/lithium-battery hybrid propulsion systems face challenges in balancing fuel economy, stack durability, and implementability under stochastic aerodynamic loads. Six energy management strategies (EMS) are systematically evaluated in this study, namely Thermostat, Fuzzy Logic, State Machine (SM-EMS), Power Following (PF-EMS), Dynamic Programming (DP-EMS), and a proposed load-disturbance-based method (LD-EMS). These strategies are tested on three distinct platforms, including a 2 kW fully simulated system, a 2 kW hardware-based setup incorporating a real PEMFC stack and Li-FePO4 battery, and a 30 kW hybrid testbed. Experiments were conducted under synthetic stochastic load profiles representative of gust-induced power transients. The results indicate that LD-EMS achieves a total equivalent hydrogen consumption of 2.71 g (close to the DP-EMS optimum of 2.64 g and 19 % lower than SM-EMS) while reducing fuel cell state-of-health degradation to only 0.0005 % over the test cycle, which is an order of magnitude better than PF-EMS and SM-EMS. On the 30 kW platform under two distinct challenging profiles, LD-EMS maintains fuel cell efficiency above 90 %, keeps the stack operating in high-efficiency zone, and limits power switching events to 97 and 212 respectively over test cycles, demonstrating robust scalability and transient suppression capability without requiring prior mission knowledge. A five-dimensional evaluation framework is introduced to compare the six EMS. In accordance with this framework, platform-specific selection guidelines are established. Thermostat EMS is recommended for small industrial UAVs where hardware simplicity dominates; LD-EMS is the optimal choice for passenger eVTOL under unpredictable gust conditions; and SM-EMS is preferred for commuter/regional aircraft operating on fixed, repetitive routes.
Gao, Zibo, Chigan, Dongdong, Xiao, Yizhuo, Li, Yuansheng, Ji, Guoming, Han, Qing, Li, Zhi-peng
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
Planetary gears are key transmission components in spacecraft drive systems and are prone to failures under long-term operation in harsh environments. To address the problem that fault diagnosis and life prediction are treated separately in existing research, this paper proposes an integrated diagnosis-prediction method. First, order tracking and time synchronous averaging are used to preprocess vibration signals, eliminating speed fluctuations and noise interference. Then, fault features are extracted via VMD/EEMD decomposition, and the gear health condition is identified through a deep convolutional neural network. Finally, ensemble learning prediction models are established separately for different fault states to realize life prediction. Experimental results show that the VMD+CNN method achieves higher diagnostic accuracy than traditional methods for gears in healthy, cracked, spalled, and pitted conditions. The ensemble prediction models matched with different states can further reduce the life prediction error. This method provides effective technical support for condition-based maintenance of spacecraft planetary gears.
Liu, Yanyan, Gao, Tongxin, Zhu, Yangsong
Metastable β-titanium alloys have attracted considerable interest for structural applications, owing to their superior specific strength and the ability to obtain enhanced ductility through phase transformations induced by deformation. Nevertheless, in recently developed Ti-Zr-Al-V alloy systems, the interactions among dislocation slip, strain-induced martensitic transformation, and the consequent work-hardening response remains largely unclear. Under room-temperature uniaxial tension, this work systematically investigates how the microstructure evolves and how the alloy deforms for a metastable β-type Ti-42Zr-12Al-4V (at.%) alloy. To track the progression of strain-induced α″ martensite and dislocation activity across varying strain levels, techniques including quasi-in-situ scanning electron microscopy (SEM) and electron backscatter diffraction (EBSD), transmission electron microscopy (TEM), and focused ion beam (FIB) were employed. Findings indicate that the dominant strengthening mechanism stems from the strain-induced α″ martensite blocking dislocation motion, alongside dislocation cross-slip. Although the martensite volume fraction rises with increasing strain, its growth rate diminishes at higher strains. The martensite and the β matrix exhibited a clear Burgers-type orientation relationship, namely [001]α″//[110]β. Moreover, the appearance of martensite inside both primary and secondary slip bands generates a dynamic Hall-Petch effect, which reduces the dislocation mean free path and thereby supports continued strain hardening. These results provide deeper insight into the transformation-induced plasticity (TRIP)-assisted deformation mechanisms active in β-type titanium alloys and could guide the development of strong yet ductile materials.
Zhang, Fuen, Hu, Zhuoqian, Luan, Baifeng
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
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
Low earth orbit (LEO) satellite communication system is expected to play a key role in the 6G wireless networks. Due to the limited communication resource and inter-user interference (IUI), the user equipments (UEs) must be well scheduled to maximize spectral efficiency. However, rapid channel variations and high mobility in LEO system make the conventional user scheduling strategies relying on instantaneous channel state information impractical. To address this challenge, this paper proposes a deep reinforcement learning (DRL) framework based on batch normalization in CrossQ algorithm to optimize the downlink user scheduling in a LEO satellite massive multi-input multi-output (MIMO) system. The scheduling task is modeled as a Markov decision process (MDP), where the observation space integrates high-dimensional features including large-scale fading (LSF) coefficients, channel matrix, and temporal features capturing the orbital progress of the satellite. Unlike traditional DRL methods, the CrossQ-based algorithm applies batch normalization (BN) within the critic networks to eliminate the need for slowly-moving target networks, fostering training stability and sample efficiency. A continuous priority score vector is mapped to discrete scheduling decisions through a top-z selection logic, allowing the agent to effectively identify spatially orthogonal user subsets to suppress the IUI. To guide the agent toward the true optimization direction, a differential reward mechanism is designed. Simulation results demonstrate that the proposed CrossQ-based scheduler consistently achieves nearly optimal performance at different signal-to-noise ratios (SNR), reaching at least 91% and 94% of the Monte Carlo search ceiling under different user densities. Moreover, the trained model provides scheduling strategy in millisecond inference time, making it a practical and robust solution for future 6G non-terrestrial networks.
Deng, Chaojun, Zhong, Yun, Meng, Xiangxu, Li, Wenfeng, Zhao, Kanglian
This paper studies how scale-free correlations, a key feature for efficient group response, emerge in collective motion under communication energy constraints. A two-dimensional Boids model integrated with a point-to-point wireless communication energy consumption model is used. The model dynamically determines, based on a limited communication power budget, an individual’s interactive neighbors, where neighbors are selected based on two different mechanisms: distance-based and probability-based, until the total communication cost reaches the budget. Simulations of flock sizes ranging from 30 to 230 individuals confirm that scale-free correlation persists, even under strict power constraints, which is shown by a correlation length ξ proportional to the flock’s linear size L. Notably, the ratio ξ/L, which reflects the robustness of collective correlation, displays a non-monotonic dependence on the available communication power. Initially, increasing power enhances ξ/L by expanding effective interaction ranges and improving information transmission. However, beyond a threshold, further power increase causes a slow drop in ξ/L, likely due to signal interference from excessively many or distant connections. This finding demonstrates that communication power is a critical, tunable engineering parameter regulating collective coordination, analogous to interaction range or neighbor number in biological models. The results imply that for engineered swarms, maximizing communication resources is not always beneficial; instead, an optimal power allocation exists to maximize coordination performance, balancing connectivity with efficient, localized interactions.
Zhao, Shiping, Gan, Qingzhong, Liu, Jinglei, Liu, Zhihao, Zhang, Liang
It is still difficult to reproduce the low-Earth-orbit (LEO) networking experiments since the experimental settings are scattered and the Large Language Model (LLM) assisted workflow is laborious and needs to be refined by manually crafting the prompt, transferring the code and debugging. Existing retrieval-assisted pipelines still demand substantial human effort for parameter inference and code repair, particularly given the precise alignment required for LEO topology, constellation, and simulator configurations. This paper presents LASERAgent, a highly automated agent system for LEO networking experiment reproduction. Unlike retrieval-assisted pipelines that mainly support evidence retrieval and code generation, LASERAgent organizes the downstream workflow into a bounded pipeline of retrieve - extract - generate - check - execute, integrating structured parameter extraction, template-guided generation, deterministic validation, controlled execution, and limited retry. Preliminary results show that LASERAgent reduces required human interventions by roughly half while improving result consistency over prior retrieval-assisted workflows, and that the validation stage plays an important role in reliable automation.
Tian, Siyu, Wei, Guangyu, He, Xiongwen, Liu, Donghua, Ma, Yue, Zhan, Yuheng, Xia, Lang
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