Abstract: The pore water pressure incremental model serves as a significant tool for characterizing the pore water pressure growth process in liquefiable soils under seismic loading and analyzing the contributions of different factors,which can effectively support the development demand of engineering performance-based seismic design for quantitative assessment of site liquefaction risk.In view of the common issues of existing incremental models and the demand for understanding the effect factors of liquefaction threshold,an incremental model for predicting the development of excess pore water pressure with four state terms is proposed.Combined with two sets of dynamic centrifuge model tests,standard sand and coral soil,the influence of peak and residual data picking methods on the prediction results is discussed,and the reliability and applicability of liquefaction risk prediction in different soil sites are evaluated.Results indicate that the established incremental model achieves convergence effectively,is adaptable to any loads,and reflects the contributions of multiple parameters such as soil,loading,and state.The predicted growth rates and time history of excess pore water pressure are in good agreement with the test results.The use of constant coefficients obtained through peak and residual pore water pressure data extraction methods leads to differences in predicting excess pore water pressure growth processes.The stably pore water pressure ratio obtained by the residual method is deviated from the test results.The liquefaction trigger threshold and stable pore water pressure ratio predicted by the peak method are basically consistent with the test results.For the two types of horizontal sites of standard sand and coral soil,the predicted growth process of excess pore water pressure and stably pore water pressure ratio under different soil,buried depth and load conditions arein good agreement with the test results.It reveals differences in excess pore water pressure growth and liquefaction triggering thresholds between the two types of soil,which proves the accuracy and applicability of the incremental model.