Estimation of Shear Wave Velocity by Means of Array Measurement of Microtremors Using Genetic Algorithm Method

Abstract eng:
Shear wave velocity is an important parameter in any dynamic site response analysis. Evaluation of surface geology and site effect in a seismic microzonation study requires a considerable effort and cost for obtaining shear wave velocity (Vs) profile of surface soil layers, if geotechnical and even common geophysical surveys are employed. As a very applicable and cost consumer method, array measurement of microtremores is introduced recently. Although a considerable complexity lies behind theoretical inversion methods, effectiveness and low cost of this method in places such as urban areas makes it very favorable. This method is based on the dispersion phenomenon of Rayleigh surface waves in layered media. Surface wave dispersion curve inversion is a challenging problem for linear inversion procedures due to its highly non-linear nature and to the large numbers of local minima and maxima of the objective function (multi-modality). As the important outcome of the current study, Genetic algorithm (GA) method is utilized in optimizing the inversion of measured dispersion curve of microtremors to obtain shear wave velocity (Vs) profile. This method successfully utilizes recently developed genetic algorithms as a global optimization method. Result of this method is compared to the site profile which obtained by another shear-wave estimation methods.

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