Bayesian Model-Updating Using Features of Modal Data: Application to the Metsovo Bridge

Bayesian Model-Updating Using Features of Modal Data: Application to the Metsovo Bridge

A Bayesian framework is presented for finite element model-updating using experimental modal data. A novel likelihood formulation is proposed regarding the inclusion of the mode shapes, based on a probabilistic treatment of the MAC value between the model predicted and experimental mode shapes. The...

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Bibliografiska uppgifter
Huvudupphovsmän: Costas Argyris, Costas Papadimitriou, Panagiotis Panetsos, Panos Tsopelas
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2020-06-01
Serie:Journal of Sensor and Actuator Networks
Ämnen:
Bayesian inference
model updating
modal identification
structural dynamics
bridges
Länkar:https://www.mdpi.com/2224-2708/9/2/27

Internet

https://www.mdpi.com/2224-2708/9/2/27

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