S. Öncü-Davas, C. Alhan



Application of Monte-Carlo Simulation to Semi-Active Isolation Systems under Near-Fault Synthetic Earthquakes

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Semi-active isolation systems can be effective in protecting structural integrity and vibration-sensitive contents concurrently. Due to external factors, the actual values of the mechanical properties of isolation elements used in semi-active isolated buildings may differ from their nominal design values. In order to determine the seismic behavior of semi-active isolated buildings more realistically, a probabilistic approach that takes such uncertainties into account is essential. Monte-Carlo Simulation technique is a suitable method to perform probabilistic investigation and conduct reliability analyses that take these uncertainties into account. In this study, it is explained how Monte-Carlo simulation method is applied to a typical semi-active isolated building. In order to make an illustration, the Monte-Carlo simulation of a 3-story benchmark semi-active isolated building is carried out under synthetic earthquakes with random characteristic parameters. For performing Monte-Carlo simulation, the previously modified version [Gavin, H., Alhan C., Oka, N., Fault Tolerance of Semiactive Seismic Isolation, 2003, J Struct Eng, 129:922-932] of 3DBASIS program [Nagarajaiah, S., Reinhorn, A.M., Constantinou, M.C., 3D-BASIS Nonlinear Dynamic Analysis of Three Dimensional Base Isolated Structures Part II”, NCEER-910005, 1991, SUNY, Buffalo], which is able to conduct seismic analysis of semi-active isolated buildings, is further modified to perform recursive analyses with random variables under synthetic earthquakes. It is shown that the structural response parameters investigated attain values in wide range as opposed to singlevalued deterministic results and the cumulative distribution function plots generated can effectively be used in determining probability of failures and thus reliability levels.


Monte-Carlo simulation, probabilistic dynamic analysis, semi-active isolated building, synthetic earthquakes


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Cite this paper

S. Öncü-Davas, C. Alhan. (2017) Application of Monte-Carlo Simulation to Semi-Active Isolation Systems under Near-Fault Synthetic Earthquakes. International Journal of Mathematical and Computational Methods, 2, 307-314


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