Deep hybrid neural network-aided electromechanical impedance method for automated damage detection of lining concrete under freeze-thaw cycling
| Author(s): |
Chuan Zhang
(State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, China)
Qixiang Yan (State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, China) Xiaolong Liao (State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, China) Yunhui Qiu (State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, China) Yifeng Zhang (State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, China) Ping Wang (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241259955 |
- About this
data sheet - Reference-ID
10797518 - Published on:
01/09/2024 - Last updated on:
01/09/2024
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