TY - JOUR
T1 - Probabilistic model and analysis of coupled train-ballasted track-subgrade system with uncertain structural parameters
AU - Mao, Jian feng
AU - Xiao, Yuan jie
AU - Yu, Zhi wu
AU - Tutumluer, Erol
AU - Zhu, Zhi hui
N1 - Funding Information:
Projects(51708558, 51878673, U1734208, 52078485, U1934217, U1934209) supported by the National Natural Science Foundation of China; Project(2020JJ5740) supported by the Natural Science Foundation of Hunan Province, China; Project(KF2020-03) supported by the Key Open Fund of State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, China; Project (2020-Special-02) supported by the Science and Technology Research and Development Program of China Railway Group Limited
Publisher Copyright:
© 2021, Central South University Press and Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2021/7
Y1 - 2021/7
N2 - Random dynamic responses caused by the uncertainty of structural parameters of the coupled train-ballasted track-subgrade system under train loading can pose safety concerns to the train operation. This paper introduced a computational model for analyzing probabilistic dynamic responses of three-dimensional (3D) coupled train-ballasted track-subgrade system (TBTSS), where the coupling effects of uncertain rail irregularities, stiffness and damping properties of ballast and subgrade layers were simultaneously considered. The number theoretical method (NTM) was employed to design discrete points for the multi-dimensional stochastic parameters. The time-histories of stochastic dynamic vibrations of the TBSS with systematically uncertain structural parameters were calculated accurately and efficiently by employing the probability density evolution method (PDEM). The model-predicted results were consistent with those by the Monte Carlo simulation method. A sensitivity study was performed to assess the relative importance of those uncertain structural parameters, based on which a case study was presented to explore the stochastic probability evolution mechanism of such train-ballasted track-subgrade system.
AB - Random dynamic responses caused by the uncertainty of structural parameters of the coupled train-ballasted track-subgrade system under train loading can pose safety concerns to the train operation. This paper introduced a computational model for analyzing probabilistic dynamic responses of three-dimensional (3D) coupled train-ballasted track-subgrade system (TBTSS), where the coupling effects of uncertain rail irregularities, stiffness and damping properties of ballast and subgrade layers were simultaneously considered. The number theoretical method (NTM) was employed to design discrete points for the multi-dimensional stochastic parameters. The time-histories of stochastic dynamic vibrations of the TBSS with systematically uncertain structural parameters were calculated accurately and efficiently by employing the probability density evolution method (PDEM). The model-predicted results were consistent with those by the Monte Carlo simulation method. A sensitivity study was performed to assess the relative importance of those uncertain structural parameters, based on which a case study was presented to explore the stochastic probability evolution mechanism of such train-ballasted track-subgrade system.
KW - coupled train-ballast-subgrade system
KW - probability density evolution method
KW - stochastic dynamic analysis
KW - structural parameter uncertainty
KW - wheel-rail interaction
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U2 - 10.1007/s11771-021-4765-z
DO - 10.1007/s11771-021-4765-z
M3 - Article
AN - SCOPUS:85115122051
SN - 2162-237X
VL - 28
SP - 2238
EP - 2256
JO - IEEE Transactions on Neural Networks and Learning Systems
JF - IEEE Transactions on Neural Networks and Learning Systems
IS - 7
ER -