Journal article
Parallelized Finite Element Analysis of Knitted Textile Mechanical Behavior
Journal of engineering materials and technology, v 141(2)
01 Apr 2019
Abstract
Direct numerical simulations (DNS) of knitted textile mechanical behavior are for the first time conducted on high performance computing (HPC) using both the explicit and implicit finite element analysis (FEA) to directly assess effective ways to model the behavior of such complex material systems. Yarn-level models including interyarn interactions are used as a benchmark computational problem to enable direct comparison in terms of computational efficiency between explicit and implicit methods. The need for such comparison stems from both a significant increase in the degrees-of-freedom (DOFs) with increasing size of the computational models considered as well as from memory and numerical stability issues due to the highly complex three-dimensional (3D) mechanical behavior of such 3D architectured materials. Mesh and size dependency, as well as parallelization in an HPC environment are investigated. The results demonstrate a satisfying accuracy combined with higher computational efficiency and much less memory requirements for the explicit method, which could be leveraged in modeling and design of such novel materials.
Metrics
Details
- Title
- Parallelized Finite Element Analysis of Knitted Textile Mechanical Behavior
- Creators
- D. Liu - Drexel UniversityS. Koric - National Center for Supercomputing#N#Applications;#N#Department of Mechanical Science#N#and Engineering,#N#University of Illinois at Urbana-Champaign,#N#Urbana, IL 61801A. Kontsos - Drexel University
- Publication Details
- Journal of engineering materials and technology, v 141(2)
- Publisher
- Asme
- Number of pages
- 10
- Grant note
- 1537720 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000459211000008
- Scopus ID
- 2-s2.0-85059362558
- Other Identifier
- 991019168818504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Mechanical
- Materials Science, Multidisciplinary