Towards probabilistic data-driven damage detection in SHM using sparse Bayesian learning scheme

被引：1
|
作者：
Wang, Qi-Ang [1 ]
Dai, Yang [1 ]
Ma, Zhan-Guo [1 ]
Ni, Yi-Qing [2 ]
Tang, Jia-Qi [3 ]
Xu, Xiao-Qi [3 ]
Wu, Zi-Yan [4 ]
机构：
[1] State Key Laboratory for Geomechanics and Deep Underground Engineering & School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China
[2] National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) and Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong
[3] School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, China
[4] School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi'an, China
来源：
Structural Control and Health Monitoring | 2022年 / 29卷 / 11期
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摘要：
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