Determination of liquefaction susceptibility of soil: a least square support vector machine approach

This study employs Least Square Support Vector Machine (LSSVM) for determination of liquefaction susceptibility of soil. LSSVM model uses dataset from the 1999 Chi-Chi, Taiwan earthquake. This article uses LSSVM as a classification tool. Using cone resistance (q c ) and cyclic stress ratio (CSR), model has been developed for prediction of liquefaction susceptibility using LSSVM. Further an attempt has been made to simplify the model, requiring only two parameters (q c and maximum horizontal acceleration (a max )), for prediction of liquefaction. Further, developed LSSVM model has been applied to different case histories available globally and the results obtained confirm the capability of LSSVM model. For Chi-Chi earthquake, the model predicts with accuracy of 100%, and in the case of global data, LSSVM model predicts with accuracy of 88%. The developed LSSVM model gives equations for determination of liquefaction susceptibility of soil. This study shows that LSSVM is a robust tool for determination of liquefaction susceptibility of soil.

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