Energy dissipation‐based material deterioration assessment using random decrement technique and convolutional neural network: A case study of Saigon bridge in Ho Chi Minh City, Vietnam
| Author(s): |
Toan Pham‐Bao
(Laboratory of Applied Mechanics (LAM) Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam)
Nhi Ngo‐Kieu (Laboratory of Applied Mechanics (LAM) Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam) Luan Vuong‐Cong (Laboratory of Applied Mechanics (LAM) Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam) Tam Nguyen‐Nhat 
(Laboratory of Applied Mechanics (LAM) Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam)
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Control and Health Monitoring, March 2022, n. 7, v. 29 |
| DOI: | 10.1002/stc.2956 |
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10660188 - Published on:
28/03/2022 - Last updated on:
16/06/2022
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