Implementation and calibration of meso-scale modeling technique for simulation of tensile behavior of fabric materials
CHALLENGE - Many published papers on numerical simulation of the dynamic response of fabric materials exist, yet little information is published on their quasi-static response, validated against standard tests. Here an investigation of the simulation of quasi-static response of fabric materials subjected to uniaxial tensile loading is conducted. The purpose of this research is to simulate the fabrics mechanical behavior accurately determining the quasi-static elastic and failure properties of fabric yarn and to rank the parameters which influence the fabric behavior.
SOLUTION - A mesoscale approach was employed to model the behavior of different para-aramid fabrics using LS-DYNA software whereas the Nelder & Mead Simplex optimization algorithm was implemented for the determination of material parameters by the fitting of numerical and experimental tensile loading curve. The parameters of fabric model are calculated and ranked from the analysis point of view by utilizing algorithms of the modeFRONTIER optimization platform. Consequently, the proposed calibration methodology constitutes the unique solution for the correct determination of material properties of yarns which are necessary for the simulation of fabric response.
BENEFITS - The huge discrepancy on maximum numerical and experimental load boosts the usefulness of calibration algorithm for the proper simulation of fabric material to tensile loading. The numerical curve load-stain derived adopting the typical elastic modulus of Twaron material presents a difference of 225% in contrast to the experimental curves.