Towards a comprehensive damage identification of structures through populations of competing models
Israel Alejandro Hernández-González,
Enrique García-Macías
Abstract:Model-based damage identification for structural health monitoring (SHM) remains an open issue in the literature. Along with the computational challenges related to the modeling of full-scale structures, classical single-model structural identification (St-Id) approaches provide no means to guarantee the physical meaningfulness of the inverse calibration results. In this light, this work introduces a novel methodology for model-driven damage identification based on multi-class digital models formed by a popula… Show more
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