Stochastic Evaluation of Railway Track Buckling Using Monte-Carlo Simulations-Reference-Cited by-同舟云学术

Stochastic Evaluation of Railway Track Buckling Using Monte-Carlo Simulations

Published:2024-12 Issue:4 Volume:10 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Agustin Dan¹^ORCID,Wu Qing²^ORCID,Spiryagin Maksym³,Cole Colin³,Bernal Esteban⁴^ORCID

Affiliation:

1. Ph.D. Candidate, Centre for Railway Engineering, Central Queensland Univ., Rockhampton, QLD 4701, Australia. ORCID: .

2. Associate Professor, Centre for Railway Engineering, Central Queensland Univ., Rockhampton, QLD 4701, Australia (corresponding author). ORCID: .

3. Professor, Centre for Railway Engineering, Central Queensland Univ., Rockhampton, QLD 4701, Australia.

4. Research Fellow, Centre for Railway Engineering, Central Queensland Univ., Rockhampton, QLD 4701, Australia. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1353

Reference32 articles.

1. Numerical and Experimental Analysis of Lateral Resistance of Single Y-Shaped Steel Sleeper on Ballasted Tracks

2. Ahmad S. N. Mandal and G. Chattopadhyay. 2009. “A comparative study of track buckling parameters of continuous welded rail.” In Proc. Int. Conf. on Mechanical Engineering. Dhaka Bangladesh: Bangladesh Univ. of Engineering and Technology.

3. Development of a probabilistic buckling analysis scheme for continuous welded rail track

4. Bao Y. 1998. “Three-dimensional stability/lateral shift analysis of continuous welded rail (CWR) track and innovative methods to enhance CWR track performance.” M.S. thesis Dept. of Civil Engineering Univ. of Illinois at Urbana-Champaign.

5. Assessing Wear Evolutions in Railway Wheelsets Using a Survival Modeling Approach