Hierarchical Bayesian uncertainty quantification of dynamical models utilizing modal statistical information
Date
2020Language
en
Keyword
Abstract
Updating dynamical models based on experimental modal information has become an important topic in structural health monitoring. This paper revisits this significant problem and develops a new two-stage hierarchical Bayesian framework, aiming to improve the quantification of uncertainty. This framework employs the Bayesian FFT approach to identify the modal parameters along with their identification uncertainty, and then, it utilizes this modal information to update the stiffness matrix. It can quantify the variability of both modal and structural parameters over multiple data sets while characterizing their identification uncertainty as well. This framework also proposes a new basis to assign optimal and appropriate weights for modal features. It weights different modal parameters based on the sum of identification uncertainty and the ensemble variability such that more uncertain parameters will be assigned smaller weights. As a result, a coherent quantification of uncertainty is attained by following Bayesian probability logic. Ultimately, experimental data from a shear building structure is used for demonstrating the proposed framework. © 2020 European Association for Structural Dynamics. All rights reserved.
Collections
Related items
Showing items related by title, author, creator and subject.
-
The effect of nonlinear wave-structure and soil-structure interactions in the design of an offshore structure
Chatziioannou K., Katsardi V., Koukouselis A., Mistakidis E. (2017)This work highlights the importance of the consideration of nonlinearities in the analysis and design of deep water platforms. The nonlinearities concern both the calculation of the wave loading and the structural analysis ... -
Optimal experimental design for structural health monitoring applications
Lam, H. F.; Papadimitriou, C.; Ntotsios, E. (2008)Successful structural health monitoring and condition assessment depends to a large extent on the sensor and actuator networks place on the structure as well as the excitation characteristics. An optimal experimental design ... -
Structural behavior and design of high-strength steel welded tubular connections under extreme loading
Varelis G.E., Papatheocharis T., Karamanos S.A., Perdikaris P.C. (2020)The present work is motivated by the increasing need for cost-efficient solutions in offshore structural systems for wind energy production and for improvement of their structural performance. The structural behavior and ...