期刊论文详细信息
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES 卷:51
On the transverse compression response of Kevlar KM2 using fiber-level finite element model
Article
Sockalingam, Subramani1,2  Gillespie, John W., Jr.1,2,3,4  Keefe, Michael1,2 
[1] Univ Delaware, Ctr Composite Mat, Newark, DE 19716 USA
[2] Univ Delaware, Dept Mech Engn, Newark, DE 19716 USA
[3] Univ Delaware, Dept Mat Sci & Engn, Newark, DE 19716 USA
[4] Univ Delaware, Dept Civil & Environm Engn, Newark, DE 19716 USA
关键词: Aramid fiber;    Tow;    Finite element analysis (FEA);    Micro-mechanics;    Transverse compression;   
DOI  :  10.1016/j.ijsolstr.2014.03.020
来源: Elsevier
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【 摘 要 】

Flexible textile composites like woven Kevlar fabrics are widely used in high velocity impact (HVI) applications. Upon HVI they are subjected to both longitudinal tensile and transverse compressive loads. To understand the role of transverse properties, the single fiber and tow transverse compression response (SFTCR and TTCR) of Kevlar KM2 fibers are numerically analyzed using plane strain finite element (FE) models. A finite strain formulation with a minimum number of 84 finite elements is determined to be required for the fiber cross section to capture the finite strain SFTCR through a mesh convergence study. Comparison of converged numerical solution to the experimental results indicates the dominant role of geometric stiffening at finite strains due to growth in contact width. The ITCR is studied using a fiber length scale FE model of a single tow comprised of 400 fibers transversely loaded between rigid platens. This study along with micrographs of yarn after mechanical compaction illustrates fiber spreading and fiber-fiber contact friction interactions are important deformation mechanisms at finite strains. The TTCR is also studied using homogenized yarn level models with properties from the literature. Comparison of TTCR between fiber length scale and homogenized yarn length scale models indicate the need for a nonlinear material model for homogenized approaches to accurately predict the transverse compression response of the fabrics. (C) 2014 Elsevier Ltd. All rights reserved.

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