The Bayesian methodology for the detection of railway ballast damage under a concrete sleeper-Reference-Cited by-同舟云学术

The Bayesian methodology for the detection of railway ballast damage under a concrete sleeper

Published:2014-12 Issue: Volume:81 Page:289-301
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Lam H.F.,Hu Q.,Wong M.T.

Funder

Research Grants Council of the Hong Kong Special Administrative Region

Publisher

Elsevier BV

Subject

Civil and Structural Engineering

Reference53 articles.

1. Characterization of clean and fouled rail track ballast subsurface using seismic surface survey method: model and field studies;Anbazhagan;Test Eval,2011

2. Model selection using response measurement: Bayesian probabilistic approach;Beck;Eng Mech,2004

3. Beck JL. Determining models of structures from earthquake records. PhD thesis, California Institution of Technology; 1978.

4. Evaluation of railway trackbed and formation: a case study;Brough;NDT&E Int,2003

5. Optimum weighted orthogonalization of measured modes;Baruch;AIAA J,1978

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Track Geometry Estimation and Hanging Sleeper Detection Using Vehicle Dynamic Responses with Unknown System Parameters;ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering;2024-09

2. Towards vibration-based damage detection of civil engineering structures: overview, challenges, and future prospects;International Journal of Mechanics and Materials in Design;2024-01-08

3. Efficient structural model updating with spatially sparse modal data: A Bayesian perspective;Mechanical Systems and Signal Processing;2023-07

4. Fastener partial looseness identification of the ballastless track by a time-domain Bayesian approach;Advances in Structural Engineering;2023-05-22

5. CA mortar void identification for slab track utilizing time-domain Markov chain Monte Carlo-based Bayesian approach;Structural Health Monitoring;2023-04-01