Machine learning (ML) has evolved rapidly over recent years with the promise to
substantially alter and enhance the role of data science in a variety of disciplines. Compared …

Over the past decade, major advances have occurred in both understanding and practice
with regard to engineering treatment of seismic soil liquefaction and assessment of seismic …

Liquefaction-induced lateral spreading that has resulted in devastating damages to lifelines
and buildings has been widely reported in recent earthquakes. Although it is impossible to …

The prediction of liquefaction-induced lateral spreading/displacement (D h) is a challenging
task for civil/geotechnical engineers. In this study, a new approach is proposed to predict D h …

This book, whose primary aim is to describe liquefaction processes and their implications for
marine structures such as pipelines, sea outfalls, quay walls and caisson breakwaters …

In 1992 and 1995, Bartlett and Youd introduced empirical equations for the prediction of
lateral spread displacement; these equations have gained wide use in engineering practice …

A semiempirical approach to estimate liquefaction-induced lateral displacements using
standard penetration test (SPT) or cone penetration test (CPT) data is presented. The …

This paper presents a theoretical framework for predicting the post-liquefaction deformation
of saturated sand under undrained cyclic loading with emphasis on the mechanical laws …

This paper presents a procedure for the evaluation of the expected seismic damage to
bridges and highway systems in Memphis and Shelby County, Tenn. Data pertinent to 452 …

The results of the six centrifuge models of instrumented single pile foundations presented in
a companion paper, are used to calibrate two limit equilibrium (LE) methods to evaluate …