DEM speedup: Stiffness effects on behavior of bulk material

By Stef Lommen, Dingena L. Schott, Gabriël Lodewijks. 2014

222 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Mechanics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/ad44a1ec19d0d4c1613339b033f50248ace6d182

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Z. Yan
2. Sam K. Wilkinson
3. Michele Marigo
4. E. Hugh Stitt
5. K. Hanley
6. C. Coetzee
7. O. Al-Amoudi
8. H. M. Al-Hashemi

In Computational Mechanics

1. Z. Yan
2. Sam K. Wilkinson
3. Michele Marigo
4. E. Hugh Stitt
5. M. Rackl
6. K. Hanley
7. C. Coetzee
8. O. Al-Amoudi

In Mechanical Engineering

1. Z. Yan
2. Sam K. Wilkinson
3. Michele Marigo
4. E. Hugh Stitt
5. M. Rackl
6. K. Hanley
7. C. Coetzee

Citations in the corpus

• A Methodical Calibration Procedure for Discrete Element Models (2017, result): “In order to speed up the computations, the Young’s modulus found in literature was scaled down by two orders of magnitude; it was found in preliminary simulations that the results for the angle of repose and the bulk density are unaffected by this which agrees with published findings [53].”
• Discrete element modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis (2015, background): “[54] showed that E in the range of 107–1011 Pa has almost no effect on the repose angle measurement.”
• Discrete Element Method (DEM) for Industrial Applications: Comments on Calibration and Validation for the Modelling of Cylindrical Pellets (2015, background): “However, it has been shown that this approach could lead to errors on the simulation results depending on the actual system that is modelled (Lommen et al., 2014).”