Waveform‐based fracture identification of steel beam ends using convolutional neural networks
Autor(en): |
Luyao Wang
(Technology Service Department AI Team, Photoruction Co., Ltd Tokyo Japan)
Ji Dang (Department of Civil and Environmental Engineering Saitama University Saitama Japan) Xin Wang (Division of Architecture and Civil Engineering Ashikaga University Tochigi Japan) Ashish Shrestha (Civil Engineering Department International Division, Hazama Ando Corporation Minato Japan) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Control and Health Monitoring, 3 August 2021, n. 9, v. 28 |
DOI: | 10.1002/stc.2777 |
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Datenseite - Reference-ID
10612477 - Veröffentlicht am:
09.07.2021 - Geändert am:
26.08.2021