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Parametric estimation of dispersive viscoelastic layered media with application to structural health monitoring

Ebrahimian, Hamed and Kohler, Monica and Massari, Anthony and Asimaki, Domniki (2018) Parametric estimation of dispersive viscoelastic layered media with application to structural health monitoring. Soil Dynamics and Earthquake Engineering, 105 . pp. 204-223. ISSN 0267-7261. doi:10.1016/j.soildyn.2017.10.017. https://resolver.caltech.edu/CaltechAUTHORS:20180314-105013814

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Abstract

We present a sequential Bayesian estimation method to estimate the material parameters that govern the one-dimensional propagation of shear waves through continuous, layered, viscoelastic solids. While the proposed estimation method is generic, namely, can be applied to waveform inversion problems that satisfy the above conditions, we here employ it for system identification of building structures. We approximate the linear-elastic response of building structures subjected to low-amplitude earthquake base excitations by a multilayer dispersive shear beam model with Kelvin-Voigt material subjected to vertically propagating shear waves. Utilizing the proposed sequential Bayesian estimation method, we sequentially update the probability distribution function of the unknown parameters to reduce the discrepancies between the estimated and measured frequency response functions. We next verify and validate the performance of the proposed estimation method and investigate the limitations of the presented structural system identification approach using two case studies. In the first case study, we use the simulated structural response of a three-dimensional 52-story building model subjected to bi-directional low-amplitude ground shakings. We estimate the frequency-dependent phase velocity and damping ratio, as well as the mass distribution along the building height. Then, we verify the structural damage detection and localization capabilities of the presented system identification approach by comparing the wave model parameters estimated from simulated response of undamaged and damaged structural models. In the second case study, we use data measured from a shake table experiment on a full-scale five-story reinforced concrete building specimen, where the estimated wave model parameters capture the progressive structural damage in the test specimen. The validation studies suggest that the sequential Bayesian estimation method based on viscoelastic dispersive wave propagation can be used for system and damage identification of building structures.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1016/j.soildyn.2017.10.017DOIArticle
https://www.sciencedirect.com/science/article/pii/S0267726117300647PublisherArticle
ORCID:
AuthorORCID
Massari, Anthony0000-0002-6561-4674
Asimaki, Domniki0000-0002-3008-8088
Additional Information:© 2017 Elsevier Ltd. Received 20 January 2017, Revised 15 October 2017, Accepted 25 October 2017, Available online 22 December 2017.
Subject Keywords:Wave inversion; Bayesian estimation; Dispersion; Interferometry; Frequency domain identification; Structural system identification
DOI:10.1016/j.soildyn.2017.10.017
Record Number:CaltechAUTHORS:20180314-105013814
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180314-105013814
Official Citation:Hamed Ebrahimian, Monica Kohler, Anthony Massari, Domniki Asimaki, Parametric estimation of dispersive viscoelastic layered media with application to structural health monitoring, Soil Dynamics and Earthquake Engineering, Volume 105, 2018, Pages 204-223, ISSN 0267-7261, https://doi.org/10.1016/j.soildyn.2017.10.017. (http://www.sciencedirect.com/science/article/pii/S0267726117300647)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85306
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:26 Mar 2018 22:53
Last Modified:15 Nov 2021 20:27

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