Track Geometry Estimation and Hanging Sleeper Detection Using Vehicle Dynamic Responses with Unknown System Parameters-Reference-Cited by-同舟云学术

Track Geometry Estimation and Hanging Sleeper Detection Using Vehicle Dynamic Responses with Unknown System Parameters

Published:2024-09 Issue:3 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:

Kitahara Masaru¹^ORCID,Masuda Daichi²,Xue Kai³,Nagayama Tomonori⁴,Su Di⁵,Tanaka Hirofumi⁶

Affiliation:

1. Assistant Professor, Dept. of Civil Engineering, Univ. of Tokyo, Tokyo 113-8656, Japan (corresponding author). ORCID: .

2. Graduate Student, Dept. of Civil Engineering, Univ. of Tokyo, Tokyo 113-8656, Japan.

3. Project Assistant Professor, Dept. of Civil Engineering, Univ. of Tokyo, Tokyo 113-8656, Japan.

4. Professor, Dept. of Civil Engineering, Univ. of Tokyo, Tokyo 113-8656, Japan.

5. Project Associate Professor, Dept. of Civil Engineering, Univ. of Tokyo, Tokyo 113-8656, Japan.

6. Senior Researcher, Track Technology Division, Railway Technical Research Institute, Tokyo 185-8540, Japan.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1259

Reference35 articles.

1. Bayesian System Identification of Rail–Sleeper–Ballast System in Time and Modal Domains: Comparative Study

2. Numerical Model and Laboratory Tests on Settlement of Ballast Track

3. Berawi A. R. B. 2013. “Improving railway track maintenance using power spectral density (PSD).” Ph.D. thesis Faculty of Engineering Universidade do Porto.

4. A State-Space Approach to the Synthesis of Random Vertical and Crosslevel Rail Irregularities

5. Manchester Benchmarks for Rail Vehicle Simulation