2 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
A Critical Assessment of PINNs and Operator Learning for Geotechnical Engineering
Krishna Kumar
Scientific machine learning (SciML) offers neural-network alternatives to numerical workflows in geotechnical engineering. This paper benchmarks multi-layer perceptrons (MLPs), phy…
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…
Machine Learning Aided Modeling of Granular Materials: A Review
Mengqi Wang, Krishna Kumar, Y. T. Feng +2
Artificial intelligence (AI) has become a buzz word since Google's AlphaGo beat a world champion in 2017. In the past five years, machine learning as a subset of the broader catego…