Damage Assessment of a Building via a Bayesian Probabilistic Approach with Earthquake Responses

摘要

This work modifies the Bayesian probabilistic approach of Sun andBetti (2015) to considerably save computation time on identifying theaccurate stiffness and damping matrices of a building via a geneticalgorithm by imposing the constrains that are established from themodal parameters identified from earthquake responses of the buildingvia the wavelet transformation along with ARX model. The truedamping model and bandwidth of the stiffness matrix of a real buildingare unknown a priori. This study numerically investigates the effects ofusing a wrong damping model and incorrect bandwidth of stiffnessmatrix on determining the stiffness parameters. These numerical studiesare carried out for seven-story shear buildings with considering theeffects of noise and incomplete measurements. Finally, the proposedprocedure is applied to process the acceleration responses of two eightstorysteel frames under shaking table tests.