scholarly journals Introducing Metamodel-Based Global Calibration of Material-Specific Simulation Parameters for Discrete Element Method

Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 848
Author(s):  
Christian Richter ◽  
Frank Will
Keyword(s):  
Discrete Element Method ◽  
Optimal Parameter ◽  
Discrete Element ◽  
Material Behavior ◽  
Global Calibration ◽  
Additional Input ◽  
Correct Determination ◽  
Simulation Parameters ◽  
Element Method

An important prerequisite for the generation of realistic material behavior with the Discrete Element Method (DEM) is the correct determination of the material-specific simulation parameters. Usually, this is done in a process called calibration. One main disadvantage of classical calibration is the fact that it is a non-learning approach. This means the knowledge about the functional relationship between parameters and simulation responses does not evolve over time, and the number of necessary simulations per calibration sequence respectively per investigated material stays the same. To overcome these shortcomings, a new method called Metamodel-based Global Calibration (MBGC) is introduced. Instead of performing expensive simulation runs taking several minutes to hours of time, MBGC uses a metamodel which can be computed in fractions of a second to search for an optimal parameter set. The metamodel was trained with data from several hundred simulation runs and is able to predict simulation responses in dependence of a given parameter set with very high accuracy. To ensure usability for the calibration of a wide variety of bulk materials, the variance of particle size distributions (PSD) is included in the metamodel via parametric PSD-functions, whose parameters serve as additional input values for the metamodel.

scholarly journals HOSS: an implementation of the combined finite-discrete element method

2020 ◽  
Vol 7 (5) ◽  
pp. 765-787
Author(s):  
Earl E. Knight ◽  
Esteban Rougier ◽  
Zhou Lei ◽  
Bryan Euser ◽  
Viet Chau ◽  
...  
Keyword(s):  
Discrete Element Method ◽  
Acoustic Analysis ◽  
Computational Mechanics ◽  
National Laboratory ◽  
Particle Interaction ◽  
Discrete Element ◽  
Material Behavior ◽  
Analysis Tool ◽  
Fluid Solid Interaction ◽  
Element Method

Abstract Nearly thirty years since its inception, the combined finite-discrete element method (FDEM) has made remarkable strides in becoming a mainstream analysis tool within the field of Computational Mechanics. FDEM was developed to effectively “bridge the gap” between two disparate Computational Mechanics approaches known as the finite and discrete element methods. At Los Alamos National Laboratory (LANL) researchers developed the Hybrid Optimization Software Suite (HOSS) as a hybrid multi-physics platform, based on FDEM, for the simulation of solid material behavior complemented with the latest technological enhancements for full fluid–solid interaction. In HOSS, several newly developed FDEM algorithms have been implemented that yield more accurate material deformation formulations, inter-particle interaction solvers, and fracture and fragmentation solutions. In addition, an explicit computational fluid dynamics solver and a novel fluid–solid interaction algorithms have been fully integrated (as opposed to coupled) into the HOSS’ solid mechanical solver, allowing for the study of an even wider range of problems. Advancements such as this are leading HOSS to become a tool of choice for multi-physics problems. HOSS has been successfully applied by a myriad of researchers for analysis in rock mechanics, oil and gas industries, engineering application (structural, mechanical and biomedical engineering), mining, blast loading, high velocity impact, as well as seismic and acoustic analysis. This paper intends to summarize the latest development and application efforts for HOSS.

A Numerical Study on the Sensitivity of the Discrete Element Method: The Multi Particle Perspective

2008 ◽  
Author(s):  
Harald Kruggel-Emden ◽  
Stefan Rickelt ◽  
Siegmar Wirtz ◽  
Viktor Scherer
Keyword(s):  
Discrete Element Method ◽  
Visual Analysis ◽  
Numerical Study ◽  
Discrete Element ◽  
Tangential Direction ◽  
Flow Properties ◽  
Friction Coefficients ◽  
Flow Rates ◽  
Simulation Parameters ◽  
Element Method

Based on the time-driven Discrete Element Method, granular flow within a hopper is investigated. Contacts are assumed as linear viscoelastic in normal and frictional-elastic in tangential direction. The hopper geometry is chosen according to Yang and Hsiau [1] who performed both experimental and numerical investigations. The considered setup is attractive, because it involves only a small number of particles enabling fast modeling. However, results on the experimental flow rates reported are contradictory and are afflicted with errors. By a visual analysis of the hopper fill levels at different points of time the correct average discharge times and flow rates are obtained. Own simulation results are in good agreement with the experimental flow rates and discharge times determined. Based on the thereby defined set of simulation parameters, a sensitivity analysis of parameters like friction coefficients, stiffnesses and time steps is performed. As flow properties, besides the overall discharge times, the time averaged axial and radial velocity distributions within the hopper are considered. Results show a strong connection of the friction coefficients with the discharge times and the velocity distributions. Other parameters only reveal a weak often indifferent influence on the studied flow properties.

Sign in / Sign up

Export Citation Format

Share Document