| contributor author | Liu, D. | |
| contributor author | Koric, S. | |
| contributor author | Kontsos, A. | |
| date accessioned | 2019-03-17T11:06:05Z | |
| date available | 2019-03-17T11:06:05Z | |
| date copyright | 12/20/2018 12:00:00 AM | |
| date issued | 2019 | |
| identifier issn | 0094-4289 | |
| identifier other | mats_141_02_021008.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4256663 | |
| description 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. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Parallelized Finite Element Analysis of Knitted Textile Mechanical Behavior | |
| type | Journal Paper | |
| journal volume | 141 | |
| journal issue | 2 | |
| journal title | Journal of Engineering Materials and Technology | |
| identifier doi | 10.1115/1.4041869 | |
| journal fristpage | 21008 | |
| journal lastpage | 021008-10 | |
| tree | Journal of Engineering Materials and Technology:;2019:;volume( 141 ):;issue: 002 | |
| contenttype | Fulltext | |