9 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
Runout of liquefaction-induced tailings dam failure: Influence of earthquake motions and residual strength
Brent Sordo, Ellen Rathje, Krishna Kumar
This study utilizes a hybrid Finite Element Method (FEM) and Material Point Method (MPM) to investigate the runout of liquefaction-induced flow slide failures. The key inputs to th…
A hybrid Finite Element and Material Point Method for modeling liquefaction-induced tailings dam failures
Brent Sordo, Ellen Rathje, Krishna Kumar
This paper presents a hybrid Finite Element Method (FEM) and Material Point Method (MPM) approach for modeling liquefaction-induced tailings dam failures from initiation through ru…
Explainable AI models for predicting liquefaction-induced lateral spreading
Cheng-Hsi Hsiao, Krishna Kumar, Ellen Rathje
Earthquake-induced liquefaction can cause substantial lateral spreading, posing threats to infrastructure. Machine learning (ML) can improve lateral spreading prediction models by…
Modeling liquefaction-induced runout of a tailings dam using a hybrid finite element and material point method approach
Brent Sordo, Ellen Rathje, Krishna Kumar
Tailings dams impound large amounts of saturated soil which can be highly susceptible to liquefaction. Liquefaction results in a severe loss of strength in the retained soil and po…