A probabilistic analysis for the uncertainty evaluation of model parameters is of great relevance when dealing with structural damage assessment. Indeed, the identification of the damage severity associated to its uncertainty can support the decision-maker to close a bridge or a building for safety reasons. In this paper the results of the model updating of an historical masonry fortress damaged by the seismic event that hits the town of San Felice sul Panaro and the surrounding localities in the Po Valley in the 2012 are presented. A standard and a Bayesian updating procedures are first applied to the calibration of the complex Finite Element (FE) model of the fortress with respect to experimental modal data. The uncertainty of the identified parameters of structural system is then obtained by using the Bayesian probabilistic approach. The most probable parameter vector is obtained by maximizing the posterior probability density function. The robustness and the efficiency of the procedure are evaluated through the comparison with the results obtained from the estimation of the Pareto-optimal solutions.

Bayesian Model Updating and Parameter Uncertainty Analysis of a Damaged Fortress Through Dynamic Experimental Data / Ponsi, Federico; Bassoli, Elisa; Vincenzi, Loris. - 156:(2021), pp. 515-533. (Intervento presentato al convegno 8th Civil Structural Health Monitoring Workshop, CSHM-8 2021 tenutosi a ONLINE nel 2021) [10.1007/978-3-030-74258-4_34].

Bayesian Model Updating and Parameter Uncertainty Analysis of a Damaged Fortress Through Dynamic Experimental Data

Federico Ponsi;Elisa Bassoli;Loris Vincenzi
2021

Abstract

A probabilistic analysis for the uncertainty evaluation of model parameters is of great relevance when dealing with structural damage assessment. Indeed, the identification of the damage severity associated to its uncertainty can support the decision-maker to close a bridge or a building for safety reasons. In this paper the results of the model updating of an historical masonry fortress damaged by the seismic event that hits the town of San Felice sul Panaro and the surrounding localities in the Po Valley in the 2012 are presented. A standard and a Bayesian updating procedures are first applied to the calibration of the complex Finite Element (FE) model of the fortress with respect to experimental modal data. The uncertainty of the identified parameters of structural system is then obtained by using the Bayesian probabilistic approach. The most probable parameter vector is obtained by maximizing the posterior probability density function. The robustness and the efficiency of the procedure are evaluated through the comparison with the results obtained from the estimation of the Pareto-optimal solutions.
2021
8th Civil Structural Health Monitoring Workshop, CSHM-8 2021
ONLINE
2021
156
515
533
Ponsi, Federico; Bassoli, Elisa; Vincenzi, Loris
Bayesian Model Updating and Parameter Uncertainty Analysis of a Damaged Fortress Through Dynamic Experimental Data / Ponsi, Federico; Bassoli, Elisa; Vincenzi, Loris. - 156:(2021), pp. 515-533. (Intervento presentato al convegno 8th Civil Structural Health Monitoring Workshop, CSHM-8 2021 tenutosi a ONLINE nel 2021) [10.1007/978-3-030-74258-4_34].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1286867
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