Microplane triad model for simple and accurate prediction of orthotropic elastic constants of woven fabric composites

2015 ◽  
Vol 50 (9) ◽  
pp. 1247-1260 ◽  
Author(s):  
Kedar Kirane ◽  
Marco Salviato ◽  
Zdeněk P Bažant
2012 ◽  
Vol 535-537 ◽  
pp. 247-252
Author(s):  
Wen Yan Wu ◽  
Qiang Liu ◽  
Yong Zhou Lin ◽  
Zhi Jian Zong

In order to simplify the performance analysis of woven fabric composites, the parametric micro-geometry model and APDL program are applied on elastic properties prediction. Firstly, the internal microstructure of woven fabric composites were observed using microscope. Seconldy, the parametric micro-geometry model was built using the defined equations to describe the shape of cross-section, the yarn path and their relations in Pro/e software. The cross-section of yarn was defined as ellipse curve ,while the yarn path was defined as sinusoidal and straight lines. Finally, the model was imported into ANSYS software, and the finite element analysis was carried out using the developed APDL program to obtain the elastic constants. With the proposed approach, several kinds of micro-geometry model of woven fabric composites were built automatically and their elastic constants were predicted quickly. It is shown that the predicted elastic constants are consistent with other references.


2021 ◽  
Vol 30 ◽  
pp. 263498332110061
Author(s):  
Gunyong Hwang ◽  
Dong Hyun Kim ◽  
Myungsoo Kim

This research aims to optimize the mechanical properties of woven fabric composites, especially the elastic modulus. A micromechanics model of woven fabric composites was used to obtain the mechanical properties of the fiber composite, and a genetic algorithm (GA) was employed for the optimization tool. The structure of the fabric fiber was expressed using the width, thickness, and wave pattern of the fiber strands in the woven fabric composites. In the GA, the chromosome string consisted of the thickness and width of the fill and warp strands, and the objective function was determined to maximize the elastic modulus of the composite. Numerical analysis showed that the longitudinal mechanical properties of the strands contributed significantly to the overall elastic modulus of the composites because the longitudinal property was notably larger than the transverse property. Therefore, to improve the in-plane elastic modulus, the resulting geometry of the composites possessed large volumes of related strands with large cross-sectional areas and small strand waviness. However, the numerical results of the out-of-plane elastic modulus generated large strand waviness, which contributed to the fiber alignment in the out-of-plane direction. The findings of this research are expected to be an excellent resource for the structural design of woven fabric composites.


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