Structural Damage Identification with Machine Learning Based Bayesian Model Selection for High-Dimensional Systems

Identifying structural damage in high-dimensional systems remains a major challenge due to the curse of dimensionality and the inherent sparsity of real-world damage scenarios. Traditional Bayesian or optimization-based approaches often become computationally intractable when applied to structures w...

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Autors principals:	Kunyang Wang, Yukihide Kajita
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-12-01
Col·lecció:	Buildings
Matèries:	Bayesian inference Gaussian process regression Bayesian model updating structural damage identification
Accés en línia:	https://www.mdpi.com/2075-5309/15/24/4456
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