YU-WEI HWANGBullock, ZachZachBullockTsai, Chi-ChinChi-ChinTsaiDashti, ShidehShidehDashti2024-09-132024-09-132022https://www.scopus.com/record/display.uri?eid=2-s2.0-85138480988&origin=resultslisthttps://scholars.lib.ntu.edu.tw/handle/123456789/720949To facilitate the regional estimation of liquefaction consequence through a connection between liquefaction triggering and estimation of engineering demand parameters, this study presents a probabilistic predictive model for the foundation settlement of isolated, shallow-founded structures on layered liquefiable soils based on the liquefaction potential index (LPI). The proposed procedure is based on a numerical database from three-dimensional, fully-coupled finite element analyses, adjusted and validated with a database of case history observations. The results indicate that the cumulative absolute velocity of the outcropping rock motion (CAV); LPI; depth to the first liquefiable, loose- to medium-dense, saturated, clean sand layer; the foundation's bearing pressure, width and length; and the structure's effective height are the primary predictors of foundation settlement. The insights from the numerical database and the predictive model show that LPI correlates well with liquefaction-induced foundation damage and simultaneously reduces the complexity of the functional form of a predictive model. © 2022 12th National Conference on Earthquake Engineering, NCEE 2022 All rights reserved.conference paper2-s2.0-85138480988