Structural damage identification with limited modal measurements and ultra‐sparse Bayesian regression-Reference-Cited by-同舟云学术

Structural damage identification with limited modal measurements and ultra‐sparse Bayesian regression

Published:2021-04-08 Issue:6 Volume:28 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Struct Control Health Monit

Author:

Xu Mingqiang¹²^ORCID,Guo Jian¹,Wang Shuqing¹³^ORCID,Li Jun²^ORCID,Hao Hong²

Affiliation:

1. College of Engineering Ocean University of China Qingdao China

2. Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering Curtin University Bentley Western Australia Australia

3. Shandong Provincial Key Laboratory of Ocean Engineering Ocean University of China Qingdao China

Funder

Major Scientific and Technological Innovation Project of Shandong Province

National Key Research and Development Program of China

National Science Fund for Distinguished Young Scholars

Publisher

Wiley

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2729

Reference59 articles.

1. An introduction to structural health monitoring

2. Lost data recovery for structural health monitoring based on convolutional neural networks

3. Vibration-based structural health monitoring under changing environmental conditions using Kalman filtering

4. Identifying the presence of structural damage: A statistical hypothesis testing approach combined with residual strain energy

5. Structural damage detection by a new iterative regularization method and an improved sensitivity function

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