Risk Assessment Method for High-Speed Railway Track Based on Dynamically Weighted Acceleration-Reference-Cited by-同舟云学术

Risk Assessment Method for High-Speed Railway Track Based on Dynamically Weighted Acceleration

Published:2021-12 Issue:4 Volume:27 Page:04021030
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Wang Xiaohui¹^ORCID,Yang Jianwei²,Wang Jinhai³,Wang Yanxue⁴,Liu Fu⁵

Affiliation:

1. Ph.D. Student, School of Civil and Transportation Engineering, Beijing Univ. of Civil Engineering and Architecture, No. 1 Zhanlanguan Rd., Xicheng District, Beijing 100044, China. ORCID: .

2. Professor, Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing Univ. of Civil Engineering and Architecture, No. 1 Zhanlanguan Rd., Xicheng District, Beijing 100044, China (corresponding author).

3. Postdoctoral with Research Fellow, Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing Univ. of Civil Engineering and Architecture, No. 1 Zhanlanguan Rd., Xicheng District, Beijing 100044, China.

4. Professor, Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing Univ. of Civil Engineering and Architecture, No. 1 Zhanlanguan Rd., Xicheng District, Beijing 100044, China.

5. Ph.D. Student, School of Civil and Transportation Engineering, Beijing Univ. of Civil Engineering and Architecture, No. 1 Zhanlanguan Rd., Xicheng District, Beijing 100044, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IS.1943-555X.0000643

Reference34 articles.

1. Improved Railway Track Geometry Degradation Modeling for Tamping Cycle Prediction

2. A Bayesian model to assess rail track geometry degradation through its life-cycle

3. Hierarchical Bayesian modelling of rail track geometry degradation

4. Statistical modelling of railway track geometry degradation using Hierarchical Bayesian models

5. Markov-based model for the prediction of railway track irregularities

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2. Risk Identification Method for High-Speed Railway Track Based on Track Quality Index and Time-Optimal Degree;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2022-06

3. Identification of Influencing Variables on Improving Resilience of High-Speed Railway System;Journal of Advanced Transportation;2022-03-24