@inproceedings{9b48e08bbbe04bd5b40aea5e4804fe69,
title = "Damage assessment of a building via a Bayesian probabilistic approach with earthquake responses",
abstract = "This work modifies the Bayesian probabilistic approach of Sun and Betti (2015) to considerably save computation time on identifying the accurate stiffness and damping matrices of a building via a genetic algorithm by imposing the constrains that are established from the modal parameters identified from earthquake responses of the building via the wavelet transformation along with ARX model. The true damping model and bandwidth of the stiffness matrix of a real building are unknown a priori. This study numerically investigates the effects of using a wrong damping model and incorrect bandwidth of stiffness matrix on determining the stiffness parameters. These numerical studies are carried out for seven-story shear buildings with considering the effects of noise and incomplete measurements. Finally, the proposed procedure is applied to process the acceleration responses of two eight-story steel frames under shaking table tests.",
keywords = "Acceleration responses, Bayesian approach, Damage assessment, Model updating",
author = "Chiung-Shiann Huang and Lin, {J. W.} and Su, {W. C.}",
year = "2018",
month = jun,
language = "English",
isbn = "9781880653876",
series = "Proceedings of the International Offshore and Polar Engineering Conference",
publisher = "International Society of Offshore and Polar Engineers",
pages = "483--491",
editor = "Chung, {Jin S.} and Beom-Soo Hyun and Dmitri Matskevitch and Wang, {Alan M.}",
booktitle = "Proceedings of the International Offshore and Polar Engineering Conference, 2018",
address = "United States",
note = "28th International Ocean and Polar Engineering Conference, 2018 ; Conference date: 10-06-2018 Through 15-06-2018",
}