Discrete element model of cohesive material in a ring shear tester by applying genetic algorithms

Conference paper (2018)

Authors

H. Do Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Javad Mohajeri Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Dingena Schott Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Research Group
Transport Engineering and Logistics (Mechanical, Maritime and Materials Engineering) (TU Delft)
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Published Date

2018

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Transport Engineering and Logistics

Abstract

In this research, DEM simulations are used to numerically replicate the behavior of cohesive coal in a ring shear tester. An automatic calibration procedure, based on the Non-dominated Sorting Genetic Algorithm, is applied to search for the appropriate simulation parameters such that its response is best fitted to the experimental macroscopic response. Using this calibration procedure, DEM input parameters are optimized successfully in reproducing the cohesive flowability of the coal sample. Through the case study of the ring shear tester, this research demonstrates the robustness and accuracy of the calibration framework using multi-objective optimization on multivariable calibration problems.

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