Sparse Bayesian learning for damage identification using nonlinear models: Application to weld fractures of steel‐frame buildings
Autor(en): |
Filippos Filippitzis
(Division of Engineering and Applied Science California Institute of Technology Pasadena California USA)
Monica D. Kohler (Division of Engineering and Applied Science California Institute of Technology Pasadena California USA) Thomas H. Heaton (Division of Engineering and Applied Science California Institute of Technology Pasadena California USA) James L. Beck (Division of Engineering and Applied Science California Institute of Technology Pasadena California USA) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Control and Health Monitoring, 10 Januar 2022, n. 2, v. 29 |
DOI: | 10.1002/stc.2870 |
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Datenseite - Reference-ID
10636912 - Veröffentlicht am:
30.11.2021 - Geändert am:
17.02.2022