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JOURNALS // Vestnik Yuzhno-Ural'skogo Gosudarstvennogo Universiteta. Seriya "Vychislitelnaya Matematika i Informatika" // Archive

Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2017 Volume 6, Issue 4, Pages 91–100 (Mi vyurv180)

Supercomputer modeling

The development of computer models of ballistic fabric with surface treatment

N. Yu. Dolganina, A. V. Ignatova

South Ural State University (pr. Lenina 76, Chelyabinsk, 454080 Russia)

Abstract: Ballistic fabrics are widely used in protective armor structures. Minimizing the mass of armored structures, reducing the kinetic energy of the bullet transmitted to the object located behind the armored panel (for reducing the amount of deflection of the rear side of the panel) are actual tasks for today. A significant part of the energy of the bullet is dissipated due to the work of frictional forces when pulling yarns from the fabric. Ability to predict the work of ballistic fabric when pulling yarn from the fabric will allow designing high-performance armored structures. Therefore, low-parametric numerical models of pulling a yarn from aramid fabric P110 of plain weave, as well as for this fabric with different types of surface treatment (rosin, silicone grease) were developed using the LS-DYNA software package. Surface treatment of the fabric allows you to change the coefficient of friction between threads with minimal weight gain. In the model, the surface treatment was accounted for by changing one parameter of the coefficient of dry friction. Several methods of parallelizing the problem of pulling a yarn from a fabric are considered. Numerical experiments were conducted to study the scalability of problem. The calculated curves of the load from displacement when drawing a thread from a fabric with and without surface treatment were obtained. The calculated results are in the range of the scatter of the experimental data.

Keywords: LS-DYNA, numerical methods, finite element method, modeling, aramid fabric, pull-out test, surface treatment.

UDC: 004.94, 004.382.2

Received: 06.10.2017

DOI: 10.14529/cmse170407



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