Neck injury mechanisms in train collisions: Dynamic analysis and data mining of the driver impact injury

Hou, Lin; Peng, Yong; Sun, Dong

doi:10.1016/j.aap.2020.105725

Cited by 13 publications

(2 citation statements)

References 49 publications

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“…The biomechanical neck injury predictor ( N ij ) is mathematically computed as the sum of normalized forces and moments, which could be expressed as. 32…”

Section: Methodsmentioning

confidence: 99%

Analysis of passenger’s injuries caused by sidewall impact during train-overturn derailments

Wang

Peng

et al. 2022

Proc Inst Mech Eng H

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The contact between passenger and the vehicle interior especially sidewall in train overturn derailment accident cause extremely serious injuries to passenger. It is regrettable that there are few relevant studies that account for overturning accidents and passenger injuries. In this study, the impact responses subject to sidewall and passenger injuries during train-overturn derailments are investigated. First, a theoretical model and a practical accident are used to validate the overturning multi-body dynamic model of an 8-car Electric Multiple Unit (EMU) coupled with a passenger. And then, the passenger’s kinematic responses of baseline models with tray tables put back and put down are studied. The results of simulation cases with different train speeds (V), friction coefficients, chair distances (D), and passenger positions (P) show that V and D have a positive impact on passenger injuries. While the friction coefficient has an overall negative influence on the passenger’s injuries, there are some irregular fluctuations. Generally, the sitting position farther away from the sidewall tends to be more dangerous for passengers. And the tray table plays an important role in protecting passengers under the same conditions. This study provides referential value for the study of train overturning accidents and guidance for the protection of passengers.

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“…The biomechanical neck injury predictor ( N ij ) is mathematically computed as the sum of normalized forces and moments, which could be expressed as. 32…”

Section: Methodsmentioning

confidence: 99%

Analysis of passenger’s injuries caused by sidewall impact during train-overturn derailments

Wang

Peng

et al. 2022

Proc Inst Mech Eng H

Self Cite

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“…In general, a full factorial design, orthogonal array, 22 Box-Behnken, 23 central composite design (CCD), Latin hypercube design (LHD) and optimal Latin hypercube design (Opt LHD) are further applied to DOE. 24 Considering the multi-level of each design variable and the superior space filling and uniformity, the optimal LHD was selected as the sampling point of DOE in the present study. 6,25,26 The sample points generated by the Opt-LHD are substituted into the AEB effective verification simulation program to calculate the results.…”

Section: Methods and Data Sourcesmentioning

confidence: 99%

AEB effectiveness research methods based on reconstruction results of truth vehicle-to-TW accidents in China

Peng

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Vehicle-to-TW accidents are one of the largest components of traffic accidents system in China, which always leads to severe accident consequences because the cyclists are vulnerable road users and drive at a high collision velocity. With the development of information and communication technology, automated Emergency Braking (AEB) system has been applied to modern vehicles, which can perform emergency braking automatically in dangerous situations and mitigate the consequence of accident. The purpose of this study is to propose a method to identify the mechanism that affects the effectiveness of AEB functions under real-life vehicle-to-TW traffic accident scenarios with Chinese county characteristics. Through the analysis and reconstruction for the sampling accident case-by-case, the whole process of the accident has been reproduced. The trajectory analysis program determines the accident triggering conditions and then generates the virtual physical parameters of the triggering conditions through the virtual sample generation method based on the initial sample. In parallel, the AEB effectiveness simulation program has been established. Plug in parameters of AEB system generated by the Latin hypercube sampling to the AEB effectiveness simulation program for getting the mechanism that affect the effectiveness of AEB functions. The AEB system parameters generated by Latin hypercube sampling are inserted into the AEB effectiveness simulation program to obtain the mechanism that affects the effectiveness of the AEB function. Under the multi-objective optimization problem of accident avoidance rate, technical cost and occupant comfort, the optimal parameters and multi-objective values of AEB are obtained by the NSGA-II algorithm. These results can adapt to Chinese actual traffic conditions to a certain extent, and provide a reliable basis for the research and development of AEB system in China.

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Multiobjective and multicollision scenario reliability-based design optimization of honeycomb-filled composite energy-absorbing structures for subways

Wang

Xiao

et al. 2022

Struct Multidisc Optim

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Neck injury mechanisms in train collisions: Dynamic analysis and data mining of the driver impact injury

Cited by 13 publications

References 49 publications

Analysis of passenger’s injuries caused by sidewall impact during train-overturn derailments

Analysis of passenger’s injuries caused by sidewall impact during train-overturn derailments

AEB effectiveness research methods based on reconstruction results of truth vehicle-to-TW accidents in China

Multiobjective and multicollision scenario reliability-based design optimization of honeycomb-filled composite energy-absorbing structures for subways

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