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Article dans une revue

Vibration-Based and Near Real-Time Seismic Damage Assessment Adaptive to Building Knowledge Level

Abstract : This paper presents a multi-level methodology for near real-time seismic damage assessment of multi-story buildings, tailored to the available level of knowledge and information from sensors. The proposed methodology relates changes in the vibratory characteristics of a building—evaluated via alternative dynamic identification techniques—to the European Macroseismic Scale (EMS-98) damage grades. Three distinct levels of knowledge are considered for the building, with damage classification made through (i) empirical formulation based on quantitative ranges reported in the literature, (ii) analytical formulation exploiting the effective stiffness concept, and (iii) numerical modelling including a simplified equivalent single-degree-of-freedom model or a detailed finite element model of the building. The scope of the study is twofold: to construct a framework for integrating structural health monitoring into seismic damage assessment and to evaluate consistencies/discrepancies among different identification techniques and model-based and model-free approaches. The experimental data from a multi-story building subject to sequential shaking are used to demonstrate the proposed methodology and compare the effectiveness of the different approaches to damage assessment. The results show that accurate damage estimates can be achieved not only using model-driven approaches with enhanced information but also model-free alternatives with scarce information.
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Contributeur : Frédérique COUFFIGNAL Connectez-vous pour contacter le contributeur
Soumis le : jeudi 5 mai 2022 - 13:01:28
Dernière modification le : mardi 9 août 2022 - 10:38:04
Archivage à long terme le : : samedi 6 août 2022 - 18:19:10


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Ekin Ozer, Ali Güney Özcebe, Caterina Negulescu, Alireza Kharazian, Barbara Borzi, et al.. Vibration-Based and Near Real-Time Seismic Damage Assessment Adaptive to Building Knowledge Level. Buildings, MDPI, 2022, 12 (4), pp.416. ⟨10.3390/buildings12040416⟩. ⟨hal-03659815⟩



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