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.
| Original language | English |
|---|---|
| Title of host publication | CHoPS 2018: 9th International Conference on Conveying and Handling of Particulate Solids |
| Number of pages | 7 |
| Publication status | Published - 2018 |
| Event | CHoPS 2018: 9th International Conference on Conveying and Handling of Particulate Solids - London, United Kingdom Duration: 10 Sep 2018 → 14 Sep 2018 |
Conference
| Conference | CHoPS 2018: 9th International Conference on Conveying and Handling of Particulate Solids |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 10/09/18 → 14/09/18 |
Keywords
- Ring shear tester
- DEM
- Cohesive coal
- Genetic algorithm (GA)
- Optimization
