Fracture mode classification of UHPC based on deep learning and wavelet time–frequency spectrum derived from acoustic emission waveform
| Autor(en): |
Yubo Jiao
(Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, State Key Laboratory of Bridge Engineering Safety and Resilience, Beijing University of Technology, Beijing, China)
Hua Yang (Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, State Key Laboratory of Bridge Engineering Safety and Resilience, Beijing University of Technology, Beijing, China) Menghan Fang (Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, State Key Laboratory of Bridge Engineering Safety and Resilience, Beijing University of Technology, Beijing, China) Lijun Xu (Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, State Key Laboratory of Bridge Engineering Safety and Resilience, Beijing University of Technology, Beijing, China) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241287907 |
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Datenseite - Reference-ID
10812092 - Veröffentlicht am:
17.01.2025 - Geändert am:
17.01.2025
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