Stochastic Analysis of Nonlinear Vehicle-Track Coupled Dynamic System and Its Application in Vehicle Operation Safety Evaluation

This paper presents a vehicle operation safety evaluation model; to this end, a nonlinear vehicle-track coupled dynamic system stochastic analysis model under random irregularity excitations based on probability density evolution method was developed. The nonlinear coupled vehicle-track dynamic syst...

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Bibliographic Details
Published in:Shock and vibration 2019, Vol.2019 (2019), p.1-23
Main Authors: Shuaibu, Abdulmumin Ahmed, Wang, Wei-Dong, Zeng, Zhi-ping, Liu, Fu-Shan
Format: Article
Language:English
Subjects:
Bridges
Computer simulation
Derailments
Distribution (Probability theory)
Dynamic models
Dynamical systems
Earthquakes
Engineering
Evolution
High speed rail
Irregularities
Methods
Monte Carlo method
Monte Carlo simulation
Nonlinear analysis
Probability theory
Railroad accidents
Random variables
Random vibration
Reliability analysis
Safety
Stochastic models
Vibration analysis
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Summary:This paper presents a vehicle operation safety evaluation model; to this end, a nonlinear vehicle-track coupled dynamic system stochastic analysis model under random irregularity excitations based on probability density evolution method was developed. The nonlinear coupled vehicle-track dynamic system is used to accurately describe the wheel-rail contact state. The stochastic function-spectral representation is used to simulate the random track irregularity in the time domain for the first time; consequently, the frequency components in the irregularity are preserved and random variables are reduced. In the process of evaluating the safety of train operation, the probability evolution, reliability of evaluation indices for different limit values, and evaluation indices for different probability limits are calculated for more accurate evaluation. The dynamic model and safety evaluation method was verified using the Zhai-model and Monte Carlo method. The results show that, when the probability guarantee is increased, the running safety index of the vehicle increases more rapidly with running speed and the left/right wheel-rail derailment coefficient increases rapidly at running speeds above 400 km/h. The computational model provides a novel direction for vehicle operation safety evaluation.
ISSN:1070-9622
1875-9203
DOI:10.1155/2019/3236093