Projects per year
Abstract
Force transmission in granular media occurs through an inhomogeneous network of inter-particle contacts referred to as force-chains. A thorough understanding of the structure of these chains is indispensable for a better comprehension of the macroscopic signatures they generate. This paper introduces Force-Chain Finder (FCF), an open-source software tool designed for detecting force-chains in granular materials. Leveraging the stress tensor computed for each particle based on its interactions with neighboring particles, the tool effectively identifies the magnitude and direction of the most compressive principal stress. Through a recursive traversal of particles and their neighbours, force-chains are robustly detected based on the alignment of the principal stress directions, which is decided by a parameter α (an angle in radians). The software provides a comprehensive suite of post-processing features, including the exportation of results in different formats, enabling detailed analysis of specific regions and dynamic phenomena. Additionally, the software facilitates the computation of statistical measures pertaining to chain size and population. By streamlining the identification and characterization of force-chains within discrete element method (DEM) simulations, this tool significantly enhances the efficiency and accuracy of force-chain analysis. Thus, the software promotes deeper insights into the behaviour of granular materials by enabling researchers to effortlessly detect and analyse force-chains.
Original language | English |
---|---|
Article number | 109070 |
Journal | Computer Physics Communications |
Volume | 297 |
Early online date | 20 Dec 2023 |
DOIs | |
Publication status | Published - Apr 2024 |
Fingerprint
Dive into the research topics of 'Force-Chain Finder: A software tool for the recursive detection of force-chains in granular materials via minor principal stress'. Together they form a unique fingerprint.Projects
- 2 Finished
-
High-Fidelity Modelling Of Power-based Additive Manufacturing Processes
Haeri, S. (Principal Investigator)
1/02/23 → 31/01/25
Project: Research
-
Powders by design for additive manufacture through multi-scale simulations
Haeri, S. (Principal Investigator)
29/07/20 → 31/05/23
Project: Research
-
The effects of interstitial inert gas on the spreading of Inconel 718 in powder bed fusion
Khajepor, S., Ejtehadi, O. & Haeri, S., 14 Aug 2023, In: Additive Manufacturing. 75, 103737.Research output: Contribution to journal › Article › peer-review
Open Access -
Contact models for the Multi-Sphere Discrete Element Method
Berry, N., Zhang, Y. & Haeri, S., 15 Feb 2023, In: Powder Technology. 416, 118209.Research output: Contribution to journal › Article › peer-review
Open Access -
Particle-scale Simulation of Powder Spreading in the Presence of Gas in Additive Manufacturing
Khajepor, S. & Haeri, S., Jun 2022, (Unpublished).Research output: Contribution to conference › Abstract