Probabilistic damage identification for bridges using multiple damage-sensitive features and FE model update
| Author(s): |
Yoshiyuki Yajima
(Visual Intelligence Research Laboratories, NEC Corporation, Kanagawa, Japan)
Murtuza Petladwala
(Visual Intelligence Research Laboratories, NEC Corporation, Kanagawa, Japan)
Takahiro Kumura (Visual Intelligence Research Laboratories, NEC Corporation, Kanagawa, Japan) Chul-Woo Kim
(Department of Civil and Earth Resources Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan)
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241247130 |
- About this
data sheet - Reference-ID
10789363 - Published on:
20/06/2024 - Last updated on:
20/06/2024
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