Accounting for model form uncertainty in Bayesian calibration of linear dynamic systems

Accounting for model form uncertainty is one of the key challenges in the model calibration of physical systems. It has been traditionally ignored (or not properly accounted for) in the model calibration of structural systems. The state-of-the-art Kennedy and O’Hagan (KOH) approach to account for mo...

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Veröffentlicht in:	Mechanical systems and signal processing 2022-05, Vol.171, p.108871, Article 108871
Hauptverfasser:	Ramancha, Mukesh K., Conte, Joel P., Parno, Matthew D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian model calibration Bias Calibration Degrees of freedom Dynamic loads Dynamical systems Earthquake loads Fully Bayesian approach Kennedy and O’Hagan approach Linear dynamic systems Linear systems Mathematical models Model forms Parameter estimation Parameters Physical parameters Physical properties Power spectral density Spectral kernel Spectral kernel mixture Structural engineering Uncertainty
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