Machine Learning–Based Settlement Models for Shallow-Founded Structures on Interbedded Liquefiable Sites Considering Dense Granular Columns

Abstract

AbstractIn this paper, we introduce physics-informed, machine learning (ML)–based predictive models for the permanent settlement of foundations on stratigraphically variable liquefiable deposits. In this paper, we define stratigraphic variability as two-...