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Bayesian-based method for structural damage identification using the improved snow ablation optimizer and hybrid multi-sample objective function
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DOI：10.1016/j.engstruct.2025.121264.png)
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Abstract
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• A novel Bayesian-based method is proposed for structural damage identification. • A hybrid multi-sample objective function is also developed. • The proposed method can effectively locate and quantify structural damage. • The new method shows remarkable noise immunity and excellent ill-posed immunity. • The new Bayesian-based method has many advantages over the current SDI methods.
Keywords:
Bayesian method
structural damage identification
multi-sample objective function
noise immunity
ill-posed immunity
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