Journal article
A Staggered Asynchronous Step Integration Algorithm for Hybrid Finite-Element and Discrete-Element Modeling
International journal of computational methods, Vol.19(2), 2150064
03/01/2022
DOI: 10.1142/S021987622150064X
Abstract
To reduce the computational time in the fields of dynamics, we introduce herein an efficient asynchronous step integration algorithm for a coupled finite-element-discrete-element method (FEM-DEM). Domain decomposition divides the whole model into an FEM subdomain and a DEM subdomain, where each subdomain selects the appropriate time step based on the element characteristics. The method of overlapping nodes and particles at the boundaries is adopted to handle the interface coupling problem, and the subcycling method is adopted to tackle the problem of transmission and matching of boundary data. Two numerical examples are presented to demonstrate the precision of the analysis and the overall efficiency. The algorithm provides the requisite calculation accuracy and significantly shortens the computer simulation. This approach further improves the efficiency of hybrid FEM-DEM modeling.
Details
- Title: Subtitle
- A Staggered Asynchronous Step Integration Algorithm for Hybrid Finite-Element and Discrete-Element Modeling
- Creators
- Tong Li - University of Iowa, MathematicsQian Wang - Shanghai Jiao Tong Univ, Sch Mech Engn, State Key Lab Mech Syst & Vibrat, 800 Dongchuan RD, Shanghai, Peoples R ChinaXianlong Jin - Shanghai Jiao Tong University
- Resource Type
- Journal article
- Publication Details
- International journal of computational methods, Vol.19(2), 2150064
- Publisher
- WORLD SCIENTIFIC PUBL CO PTE LTD
- DOI
- 10.1142/S021987622150064X
- ISSN
- 0219-8762
- eISSN
- 1793-6969
- Number of pages
- 17
- Grant note
- 2016YFB0201800 / National Key Research and Development Program of China 11772192 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Language
- English
- Date published
- 03/01/2022
- Academic Unit
- Mathematics
- Record Identifier
- 9984240245802771
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