Numerical Modelling of Interaction between Hydraulic Fractures and Natural Fractures by Using the Extended Finite Element Method by Peilun Li, Yan Dong, Sheng Wang, Peichao Li

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Hierarchical Control Strategy for the Cooperative Braking System of Electric Vehicle by Jiankun Peng, Hongwen He, Wei Liu, Hongqiang Guo

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Device for studying uneven rotation of crankshaft by A. E. Korneev

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Effects of Hole Perpendicularity Error on Mechanical Performance of Single-Lap Double-Bolt Composite Joints by Xueshu Liu, Yuxing Yang, Yiqi Wang, Yongjie Bao, Hang Gao

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Nonlinear Dynamic Behaviour Analysis of a Clutch System with Uncertainties Using Polynomial Chaos and the Constrained Harmonic Balance Method by M.-H. Trinh, S. Berger, E. Aubry

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Game Theory Modelling for Vehicle U-Turn Behavior and Simulation Based on Cellular Automata by WenJing Wu, ZhiKang Liang, QingYu Luo, FangWu Ma

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A Novel Inward Gradient Self-Lubrication Layer with Soft Alloys and Its Lubricating Mechanism by Songshan Yan, Ling Qin, Rui Hu, Zuomin Liu

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Intelligent Control of the Air Compressor (AC) and Back Pressure Valve (BPV) to Improve PEMFC System Dynamic Response and Efficiency in High Altitude Regions by Lei Gao, Xuechao Wang

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Design and Implementation of Automatic Wheat Mower Based on Smart Sensor Fed by a Photovoltaic by Hikmet Esen, Abdullah Kapicioglu, Onur Ozsolak

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Experimental and Mathematical Studies for Optimality of GTAW Parameters on Similar and Dissimilar Steel Substrates by Bandaru Kiran, Dega Nagaraju, Senthil Kumaran Selvaraj, Baye Molla

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Real-Time Evaluation of Compaction Quality by Using Artificial Neural Networks by Weidong Cao, Shutang Liu, Xuechi Gao, Fei Ren, Peng Liu, Qilun Wu

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Modeling of Reinforced Concrete Beams Exposed to Fire by Using a Spectral Approach by Rui Sun, Bo Xie, Ricardo Perera, Yongjun Pan

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Hamiltonian Neural Network 6-DoF Rigid-Body Dynamic Modeling Based on Energy Variation Estimation by Fei Simiao, Huo Lin, Sun Zhixiao, Wang He, Lu Yuanjie, He Jile, Luo Qing, Su Qihang

“…This study introduces a novel deep modeling approach that utilizes Hamiltonian neural networks to address the challenges of modeling the six degrees of freedom rigid-body dynamics induced by control inputs in various domains such as aerospace, robotics, and automotive engineering. The proposed method is based on the principles of Hamiltonian dynamics and employs an inductive bias in the form of a constructed bias for both conservative and varying energies, effectively tackling the modeling issues arising from time-varying energy in controlled rigid-body dynamics. …”
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Passenger Satisfaction Analysis of an Urban Subway Based on Travel Behaviour Characteristics by Fuquan PAN, Shuai CHENG, Lixia ZHANG, Xiaoxia YANG, Jinshun YANG

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Combining Optimal Controller and Luenberger Observer for an Active Roll Control System on Trucks to Avoid Rollover Phenomenon at High Speeds by Vu Van Tan, Pham Tat Thang, Do Trong Tu, Kieu Duc Thinh

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Influence of Magnetic Wood on Mechanical and Electromagnetic Wave-Absorbing Properties of Polymer Composites by Satish Geeri, B. Krishna Murthy, Aditya Kolakoti, M. Murugan, P. V. Elumalai, N. R. Dhineshbabu, S. Prabhakar

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Vista for educational and research activities in humanitarian and socio-economic disciplines in presence of a non-profile faculty in university by M. S. Novikov, S. V. Novikov

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Directed Energy Deposition via Artificial Intelligence-Enabled Approaches by Utkarsh Chadha, Senthil Kumaran Selvaraj, Aakrit Sharma Lamsal, Yashwanth Maddini, Abhishek Krishna Ravinuthala, Bhawana Choudhary, Anirudh Mishra, Deepesh Padala, Shashank M, Vedang Lahoti, Addisalem Adefris, Dhanalakshmi S

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An improved gray wolf optimization algorithm solving to functional optimization and engineering design problems by Yihui Qiu, Xiaoxiao Yang, Shuixuan Chen

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Flexibility estimation of electric vehicles and its impact on the future power grid by Jiexiang Wu, Li Li, Jiangfeng Zhang, Boyi Xiao

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