Identification of Frequencies and Track Irregularities of Railway Bridges Using Vehicle Responses: A Recursive Bayesian Kalman Filter Algorithm-Reference-Cited by-同舟云学术

Identification of Frequencies and Track Irregularities of Railway Bridges Using Vehicle Responses: A Recursive Bayesian Kalman Filter Algorithm

Published:2022-09 Issue:9 Volume:148 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Xiao Xiang¹,Xu Xiaoyu²,Shen Wenai³^ORCID

Affiliation:

1. Associate Professor, School of Transportation, Wuhan Univ. of Technology, Wuhan 430070, China.

2. Postgraduate, School of Transportation, Wuhan Univ. of Technology, Wuhan 430070, China.

3. Associate Professor, School of Civil and Hydraulic Engineering, Huazhong Univ. of Science and Technology, Wuhan 430074, China (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EM.1943-7889.0002140

Reference28 articles.

1. Uncertainty law in ambient modal identification—Part I: Theory

2. An adaptive unscented Kalman filter for tracking sudden stiffness changes

3. Output-only computer vision based damage detection using phase-based optical flow and unscented Kalman filters

4. A Discontinuous Extended Kalman Filter for non-smooth dynamic problems

5. Structural Health Monitoring by Recursive Bayesian Filtering

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