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Simulation of the mechanical behaviour of coated particles using DEM‐BPM

Citation Link: https://doi.org/10.15480/882.9156
Publikationstyp
Journal Article
Date Issued
2023-11
Sprache
English
Author(s)
Safdar, Wasif  orcid-logo
Konstruktion und Festigkeit von Schiffen M-10  
Rotter, Sonja  orcid-logo
Konstruktion und Festigkeit von Schiffen M-10  
Orth, Maike  orcid-logo
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
Heinrich, Stefan  
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
Düster, Alexander  
Konstruktion und Festigkeit von Schiffen M-10  
TORE-DOI
10.15480/882.9156
TORE-URI
https://hdl.handle.net/11420/45522
Journal
Proceedings in applied mathematics and mechanics  
Volume
23
Issue
3
Article Number
e202300124
Citation
Proceedings in applied mathematics and mechanics 23 (3): e202300124 (2023-11)
Publisher DOI
10.1002/pamm.202300124
Publisher
Wiley
Peer Reviewed
true
In previous years, research into the use of granular media as crash absorbers in a ship double hull has led to an increased interest in further optimisation to improve their energy absorption. One way is to add a coating layer on the outside surface of these particles. This work provides an introduction to the numerical modelling of coated particles to simulate their crushing behaviour. Depending upon the type of coating material, the compressive behaviour differs. Therefore, a sound methodology needs to be developed. For that purpose, the discrete element method in combination with the bonded particle method was utilised using the open‐source code MUSEN. The bonded particle method helps to simulate the crushing behaviour of coated particles. However, for this high‐fidelity model, the number of parameters needs to be reduced and afterwards optimised. A sensitivity analysis is performed for that objective followed by optimisation using particle swarm algorithm. The results illustrate a good approximation of the experimental force‐displacement curve by the optimised model on a uniaxial single particle compression test.
DDC Class
510: Mathematics
Funding(s)
Graduiertenkolleg 2462: Prozesse in natürlichen und technischen Partikel-Fluid-Systemen  
Projekt DEAL  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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