249 citations · 1.3k across the 33 of their papers we have counts for
34 papers
Non-local physics-informed neural networks for forward and inverse solutions of granular flows
Saghar Zolfaghari, Safa Jamali
Dense granular flows exhibit nonlocal effects due to stress transmission in microplastic events, especially in quasi-static or slowly sheared regions. Hence, traditional local rheo…
Detecting hidden structures from a static loading experiment: topology optimization meets physics-informed neural networks
Saviz Mowlavi, Ken Kamrin
Most noninvasive imaging techniques utilize electromagnetic or acoustic waves originating from multiple locations and directions to identify hidden geometrical structures. Surprisi…
Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion
Shashank Agarwal, Daniel I Goldman, Ken Kamrin
Soft materials often display complex behaviors that transition through apparent solid- and fluid-like regimes. While a growing number of microscale simulation methods exist for the…
An incompressible Eulerian method for fluid-structure interaction with mixed soft and rigid solids
Xiaolin Wang, Ken Kamrin, Chris H. Rycroft
We present a general simulation approach for incompressible fluid--structure interactions in a fully Eulerian framework using the reference map technique (RMT). The approach is sui…
Modeling silo clogging with nonlocal granular rheology
Sachith Dunatunga, Ken Kamrin
Granular flow in a silo demonstrates multiple nonlocal rheological phenomena due to the finite size of grains. We solve the Nonlocal Granular Fluidity (NGF) continuum model in quas…
Interplay between hysteresis and nonlocality during onset and arrest of flow in granular materials
Saviz Mowlavi, Ken Kamrin
The jamming transition in granular materials is well-known for exhibiting hysteresis, wherein the level of shear stress required to trigger flow is larger than that below which flo…