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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Composite Structuresarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Composite Structures
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Finite element simulation of ballistic impact on single jersey knit fabric

Authors: P. Justin McKee; Adam C. Sokolow; Jian H. Yu; Larry L. Long; Eric D. Wetzel;

Finite element simulation of ballistic impact on single jersey knit fabric

Abstract

Abstract Knitted fabrics are constructed from interlocking loops of yarn. Curvature in the yarn provides stretchability, making them well suited for garments that will cover areas of the body that require large relative motion. Although most current soft armors are composed of woven textiles, knitted fabrics made of aramid fibers such as Kevlar may have application for use in soft armor to provide a larger range of motion in addition to protection. However, their ballistic performance has not been well characterized. The goal of this work is to develop a computational framework to simulate a single jersey knit under ballistic loading. The path and shape of the yarn in the knit fabric is defined with parametric equations calibrated to CT images of a sample fabric. Results of finite element simulations demonstrate the unique mechanical response of knit soft armor, and show qualitative agreement with ballistic experiments.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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