Unsupervised deep learning method for bridge condition assessment based on intra-and inter-class probabilistic correlations of quasi-static responses
Author(s): |
Yang Xu
(Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China)
Yadi Tian (Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China) Hui Li (Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, China) |
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Medium: | journal article |
Language(s): | English |
Published in: | Structural Health Monitoring, November 2019, n. 1, v. 22 |
Page(s): | 147592172211030 |
DOI: | 10.1177/14759217221103016 |
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data sheet - Reference-ID
10680475 - Published on:
18/06/2022 - Last updated on:
20/02/2023