LPI-based Probabilistic Predictive Model for Foundation Settlement on Liquefiable Sites
Journal
12th National Conference on Earthquake Engineering, NCEE 2022
Date Issued
2022
Author(s)
Abstract
To 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.
Event(s)
12th National Conference on Earthquake Engineering, NCEE 202227, June 2022 through 1 July 2022, Salt Lake City, code 182374
Publisher
Earthquake Engineering Research Institute
Type
conference paper