OPTIMIZATION FOR CALIBRATION OF LIQUEFACTION CONSTITUTIVE MODEL

Abstract eng:
Large sets of soil experimental data (field and laboratory) are becoming increasingly available for calibration of soil constitutive models. A challenging task is to calibrate a potentially large number of model parameters to satisfactorily match many data sets simultaneously. This calibration effort can be facilitated by optimization techniques. In this paper, an existing numerical optimization computer code is employed in calibrating a plasticity model developed for liquefaction simulation. Calibration is based on experimental data from a dynamic mild-slope liquefaction centrifuge experiment. The objective function is chosen to minimize the difference between computed and observed liquefaction-induced lateral spreading. The optimized computational results show a reasonable agreement with the experimental counterparts. In addition, a parametric study is conducted to demonstrate the effectiveness of, and certain subtleties associated with numerical optimization techniques.

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