Simulation method for train curve derailment collision and the effect of curve radius on collision response

Li, Zong-Zhi; Zhu, Tao; Xiao, Shoune; Zhang, Jingke; Wang, Xiaorui; Ding, Haoxu

doi:10.1177/09544097231154313

Cited by 12 publications

(5 citation statements)

References 27 publications

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“…In recent years, the challenges of road safety and traffic congestion have grown increasingly urgent [1][2][3][4]. The Advanced Driver Assistance System (ADAS) has been widely studied as a solution to ease driving burdens and enhance road safety [5].…”

Section: Introductionmentioning

confidence: 99%

Delay-Aware Intelligent Asymmetrical Edge Control for Autonomous Vehicles with Dynamic Leading Velocity

et al. 2023

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The integration of Connected Cruise Control (CCC) and wireless Vehicle-to-Vehicle (V2V) communication technology aims to improve driving safety and stability. To enhance CCC’s adaptability in complex traffic conditions, in-depth research into intelligent asymmetrical control design is crucial. In this paper, the intelligent CCC controller issue is investigated by jointly considering the dynamic network-induced delays and target vehicle speeds. In particular, a deep reinforcement learning (DRL)-based controller design method is introduced utilizing the Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm. In order to generate intelligent asymmetrical control strategies, the quadratic reward function, determined by control inputs and vehicle state errors acquired through interaction with the traffic environment, is maximized by the training that involves both actor and critic networks. In order to counteract performance degradation due to dynamic platoon factors, the impact of dynamic target vehicle speeds and previous control strategies is incorporated into the definitions of Markov Decision Process (MDP), CCC problem formulation, and vehicle dynamics analysis. Simulation results show that our proposed intelligent asymmetrical control algorithm is well-suited for dynamic traffic scenarios with network-induced delays and outperforms existing methods.

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Section: Introductionmentioning

confidence: 99%

Delay-Aware Intelligent Asymmetrical Edge Control for Autonomous Vehicles with Dynamic Leading Velocity

et al. 2023

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“…Nevertheless, these fluids comply with the relevant laws of fluid mechanics and electrodynamics at the same time, so that the plasma state can be described by dynamic equations. The relevant research theories have already been involved in fields such as rapid transit [1], aerospace [2], applied optics [3] and neural network [4–6].…”

Section: Introductionmentioning

confidence: 99%

Orbits and chaos of a two‐fluid magnetized plasma oscillator subjected to parametric excitation with square delayed feedback

Hu,

Zhou

2023

Z Angew Math Mech

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In this manuscript, a two‐fluid magnetized plasma oscillator subjected to parametric excitation with square delayed feedback is studied both analytically and numerically. The Hamilton systems of triple‐well and narrow single‐well are discussed in detail. The scenarios of phase portraits and equilibria are given. Homoclinic and heteroclinic orbits are strictly derived. With the Melnikov method, the critical value of chaos arising from homoclinic or heteroclinic intersections is derived analytically. We have discovered some interesting dynamic phenomena, such as uncontrollable time delays with which chaos always occurs for this system. The influence of time‐delay on the chaotic property is also studied rigorously. On the basis of theoretical analysis, some numerical simulations including time histories, phase portraits, bifurcation diagrams, Poincaré sections, Lyapunov exponential spectrums and attractor basins are given. Numerical simulations are consistent with theoretical results.

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“…Vibration-based monitoring can detect changes in the dynamic behavior of the wheelset caused by defects or cracks and provide early warning of potential failures using the importance of vibration analysis [25][26][27]. Furthermore, the use of advanced simulation techniques [28][29][30], such as finite element analysis (FEA), can provide valuable insights into the stress and strain behavior of railway wheelsets and help optimize material selection, design, and maintenance strategies. For example, Arslan et al [31] employed finite element analysis (FEA) to examine the impact of diverse loading conditions on the stress and strain behavior of railway wheelsets.…”

Section: Introductionmentioning

confidence: 99%

High-Cycle Fatigue Behavior of D2 Wheel Steel under Uniaxial and Multiaxial Loading Conditions for Potential Applications in the Railway Industry

Zhao

2023

Crystals

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This study investigates the fatigue damage evolution mechanisms of D2 wheel steel under high-cycle uniaxial and multiaxial loading conditions, with a focus on determining the fatigue crack growth threshold (FCGT). Uniaxial and multiaxial FCGT tests were performed on pre-cracked D2 wheel steel specimens subjected to high-frequency cyclic loading at stress ratios (R) of 0.1. The results indicate that the FCGT for D2 wheel steel under uniaxial loading conditions ranges between 8–9 MPa.m0.5, while under multiaxial loading conditions, it ranges between 6–9 MPa.m0.5. Scanning electron microscopy analysis revealed differences in the crack propagation mechanisms between the uniaxial and multiaxial tests, with cracks deviating from their path and following the microstructure in the uniaxial tests, and cracks propagating along planes of weakness in the multiaxial tests. These findings provide insights into the high-cycle fatigue behavior of D2 wheel steel under different loading conditions for potential applications in the railway industry.

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Simulation method for train curve derailment collision and the effect of curve radius on collision response

Cited by 12 publications

References 27 publications

Delay-Aware Intelligent Asymmetrical Edge Control for Autonomous Vehicles with Dynamic Leading Velocity

Delay-Aware Intelligent Asymmetrical Edge Control for Autonomous Vehicles with Dynamic Leading Velocity

Orbits and chaos of a two‐fluid magnetized plasma oscillator subjected to parametric excitation with square delayed feedback

High-Cycle Fatigue Behavior of D2 Wheel Steel under Uniaxial and Multiaxial Loading Conditions for Potential Applications in the Railway Industry

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