BUILDING SEISMIC FRAGILITIES USING RESPONSE SURFACE METAMODELS

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BUILDING SEISMIC FRAGILITIES USING RESPONSE SURFACE METAMODELS

Author: Peeranan Towashiraporn | Size: 3 MB | Format: PDF | Quality: Unspecified | Publisher: Georgia Institute of Technology | Year: August 2004 | pages: 255

Building fragility describes the likelihood of damage to a building due to random ground motions. Conventional methods for computing building fragilities are either
based on statistical extrapolation of detailed analyses on one or two specific buildings make use of Monte Carlo simulation with these models. However, the Monte Carlo
technique usually requires a relatively large number of simulations in order to obtain a sufficiently reliable estimate of the fragilities, and it quickly becomes impractical to simulate the required thousands of dynamic time-history structural analyses for physics- based analytical models.
An alternative approach for carrying out the structural simulation is explored in this work. The use of Response Surface Methodology in connection with the Monte Carlo simulations simplifies the process of fragility computation. More specifically, a response surface is sought to predict the structural response calculated from complex dynamic analyses. Computational cost required in a Monte Carlo simulation will be significantly reduced since the simulation is performed on a polynomial response surface function, rather than a complex dynamic model. The methodology is applied to the fragility computation of an unreinforced masonry (URM) building located in the New Madrid Seismic Zone. Different rehabilitation schemes for this structure are proposed and evaluated through fragility curves. Response surface equations for predicting peak drift are generated and used in the Monte Carlo simulation. Resulting fragility curves

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