Outputs (4)

A Multi-Core Ready Discrete Element Method With Triangles Using Dynamically Adaptive Multiscale Grids (2018)
Journal Article
Krestenitis, K., & Weinzierl, T. (2019). A Multi-Core Ready Discrete Element Method With Triangles Using Dynamically Adaptive Multiscale Grids. Concurrency and Computation: Practice and Experience, 31(19), Article e4935. https://doi.org/10.1002/cpe.4935

The simulation of vast numbers of rigid bodies of non‐analytical shapes and of tremendously different sizes that collide with each other is computationally challenging. A bottleneck is the identification of all particle contact points per time step.... Read More about A Multi-Core Ready Discrete Element Method With Triangles Using Dynamically Adaptive Multiscale Grids.

Fast DEM collision checks on multicore nodes (2018)
Presentation / Conference Contribution
Krestenitis, K., Weinzierl, T., & Koziara, T. (2017, September). Fast DEM collision checks on multicore nodes. Presented at 12th International Conference on Parallel Processing and Applied Mathematics (PPAM) 2017, Lublin, Poland

Many particle simulations today rely on spherical or analytical particle shape descriptions. They find non-spherical, triangulated particle models computationally infeasible due to expensive collision detections. We propose a hybrid collision detecti... Read More about Fast DEM collision checks on multicore nodes.

A Contact Detection Code using Triangles for Non-Spherical Particle Simulations (2016)
Presentation / Conference Contribution
Krestenitis, K., Weinzierl, T., & Koziara, T. (2023, March). A Contact Detection Code using Triangles for Non-Spherical Particle Simulations. Presented at 24th Conference on Computational Mechanics (ACME-UK 2016), Cardiff, UK

We present a novel DEM (discrete element method) code with explicit time stepping. DEM codes simulate billions of small particles that interact with each other primarily through collisions. Different to state-of-the-art codes, we rely on triangulated... Read More about A Contact Detection Code using Triangles for Non-Spherical Particle Simulations.

Calculating the minimum distance between triangles on SIMD Hardware (2015)
Presentation / Conference Contribution
Krestenitis, K., Koziara, T., Gil, A., & Sevilla, R. (2015, April). Calculating the minimum distance between triangles on SIMD Hardware. Presented at 23rd Conference on Computational Mechanics (ACME) 2015, Swansea, UK

This paper presents an investigation into calculating the minimum distance between two 3D triangles on SIMD hardware. We formulate the problem as constrained minimization and apply a quasi-Newton method to solve its multiple instances simultaneously... Read More about Calculating the minimum distance between triangles on SIMD Hardware.