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Author:

Cai, Chao-Huang (Cai, Chao-Huang.) | Lu, Zhao-Hui (Lu, Zhao-Hui.) | Zhao, Yan-Gang (Zhao, Yan-Gang.)

Indexed by:

EI Scopus

Abstract:

Taking the uncertainties in the high-speed train load, environment actions, structural resistance, and material properties into consideration, the performance function of CRTS II track slab for the horizontal flexural strength is essentially a stochastic process, which may be nonstationary and non-Gaussian due to the nonnormal random variables and process. In the present paper, based on the fourth-moment transformation, a time-dependent reliability assessment method for nonstationary and non-Gaussian process is developed. In this method, the nonstationary and non-Gaussian process is firstly transformed as a standard Gaussian process, and then the time-dependent failure probability is evaluated based on the transformed Gaussian process and the cumulative distribution function of the bivariate standard normal distribution. Next, the time-dependent reliability index of the CRTS II track slab for the horizontal flexural strength is determined using the developed time-dependent reliability assessment method. The results show that the CRTS II track slab will not be damaged by the horizontal bending in the service lifetime. © 2022 ISRERM Organizers. Published by Research Publishing, Singapore.

Keyword:

Gaussian noise (electronic) Railroad tracks Distribution functions Bending strength Railroad cars Time-to-failure Normal distribution Gaussian distribution Railroad transportation Railroads Fracture mechanics

Author Community:

  • [ 1 ] [Cai, Chao-Huang]School of Civil Engineering, Central South University, China
  • [ 2 ] [Lu, Zhao-Hui]Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, China
  • [ 3 ] [Zhao, Yan-Gang]Department of Architecture, Kanagawa University, Japan

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Source :

Year: 2024

Page: 147-151

Language: English

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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