Story Stiffness Identification of Full-Scale Test Structure Using Bayesian Model Updating Method

摘要

A story stiffness identification procedure based on Bayesian model updating approach has been presented. The story stiffness values for the full-scale test structure identified by the proposed procedure are nearly identical to the nominal stiffness values of the test structure; a procedure to calculate the nominal stiffness values considering the inertia and damping forces from test data is also presented. The presented algorithm also has a strong advantage in avoiding the sampling possibly trapped into a false neighborhood of “true” parameters and obtaining stable samplings.