Gaussian process regression for active sensing probabilistic structural health monitoring: experimental assessment across multiple damage and loading scenarios
Auteur(s): |
Ahmad Amer
(Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA)
Fotis Kopsaftopoulos (Department of Mechanical, Aerospace and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring, mai 2022, n. 2, v. 22 |
Page(s): | 147592172210987 |
DOI: | 10.1177/14759217221098715 |
- Informations
sur cette fiche - Reference-ID
10680438 - Publié(e) le:
18.06.2022 - Modifié(e) le:
21.03.2023