Grain-scale-based simulation of granular material

Estimating the Saturated Hydraulic Conductivity of Granular Material, Using Artificial Neural Network, Based on Grain Size Distribution Curve

Pore Scale Model of Wet Granular Material

Landslides are one of the main natural threats for both people and infrastructure in mountainousregions. In most cases, landslides are triggered by the loss of cohesion in a soil due to the increasingliquid saturation level after long or intense rainfalls. Only little is known on the triggering of failuresat the microscopic scale due to the limited experimental accessibility and the...

High-Resolution Simulation of Granular Material with SPH

We present an efficient framework for simulating granular material with high visual detail. Our model solves the computationally and numerically critical forces on a coarsely sampled particle simulation. We incorporate a new frictional boundary force into an existing continuum-based method which enables realistic interactions and a more robust simulation. Visual realism is achieved by coupling ...

Atomic-scale quantification of grain boundary segregation in nanocrystalline material.

Grain boundary segregation leads to nanoscale chemical variations that can alter a material's performance by orders of magnitude (e.g., embrittlement). To understand this phenomenon, a large number of grain boundaries must be characterized in terms of both their five crystallographic interface parameters and their atomic-scale chemical composition. We demonstrate how this can be achieved using ...

estimating the saturated hydraulic conductivity of granular material, using artificial neural network, based on grain size distribution curve

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