Bayesian model updating-based and simulation-based system identification of shear-bending model for high-rise building
by Kohei Fujita; Yuha Hoshi; Izuru Takewaki
International Journal of Earthquake and Impact Engineering (IJEIE), Vol. 4, No. 2, 2024

Abstract: A new system identification method is proposed for high-rise buildings based on the original simulation-assisted Bayesian model updating using a shear-bending model (SB model). The shear and bending stiffnesses of the SB model can be obtained by applying the inverse-eigenmode method based on the fundamental natural mode of the target building. A probabilistic SB model is investigated where the mean values of bending stiffnesses are controlled by the stiffness ratio of the bending stiffness to the shear stiffness. In this paper, a simulation-assisted Bayesian model-updating approach is proposed to identify the fundamental natural mode shape of rotation angles based on the limited-point floor rotation angle responses. The Bayes formula is applied to additionally observed floor rotation angles for evaluating the posterior probability distribution of the fundamental natural mode shape. To investigate the applicability of the proposed method, numerical examples of a 20-story building frame subjected to micro-tremor are shown.

Online publication date: Wed, 22-May-2024

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