Evaluation of wind fragilities of existing multi-story shear frames using maximum a posteriori estimation

Conference Publication ResearchOnline@JCU
Wang, Vincent Z.;Ginger, John D.;Henderson, David J.
Abstract

Wind fragility analysis provides a quantitative instrument for delineating the safety performance of civil structures under hazardous wind loading conditions such as cyclones and tornados. It has attracted and would be expected to continue to attract intensive research spotlight particularly in the nowadays worldwide context of adapting to the changing climate. One of the challenges encumbering efficacious assessment of the safety performance of existing civil structures is the possible incompleteness of the structural appraisal data. Addressing the issue of the data missingness, the study presented in this paper forms a first attempt to investigate the feasibility of using the expectation-maximization (EM) algorithm and Bayesian techniques to predict the wind fragilities of existing civil structures. A numerical example of a multi-story shear frame is introduced with the wind loads derived from a widely used power spectral density function. Specifically, the application of the maximum a posteriori estimates of the distribution parameters for the story stiffness is examined.

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ASEM 2013: World Congress on Advances in Structural Engineering and Mechanics

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978-89-89693-37-6

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9

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Jeju, South Korea

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Techno Press

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Publisher Location

Korea

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