Damage accumulation in woven-fabric CFRP laminates under tensile loading: Part 1. Observations of damage accumulation

1999 ◽  
Vol 59 (1) ◽  
pp. 123-136 ◽  
Author(s):  
F. Gao ◽  
L. Boniface ◽  
S.L. Ogin ◽  
P.A. Smith ◽  
R.P. Greaves
Keyword(s):  
Damage Accumulation ◽  
Tensile Loading ◽  
Woven Fabric ◽  
Cfrp Laminates

Deformation behavior of auxetic woven fabric made of foldable geometry in different tensile directions

2020 ◽  
Vol 91 (1-2) ◽  
pp. 87-99
Author(s):  
Hasan Kamrul ◽  
Weiguo Dong ◽  
Adeel Zulifqar ◽  
Shuaiquan Zhao ◽  
Minglonghai Zhang ◽  
...  
Keyword(s):  
Poisson’S Ratio ◽  
Tensile Deformation ◽  
Tensile Loading ◽  
Woven Fabrics ◽  
Woven Fabric ◽  
Poisson's Ratio ◽  
Negative Poisson’S Ratio ◽  
Ratio Effect ◽  
Negative Poisson's Ratio ◽  
Principal Directions

Auxetic woven fabrics made with special geometrical structures have gained the interest of textile scientists in recent years. This paper reports a study on auxetic woven fabric based on a double-directional parallel in-phase zig-zag foldable geometrical structure. Such a fabric has been already produced and investigated for its negative Poisson's ratio effect in two principal directions (weft and warp directions). However, its negative Poisson's ratio effect in biased tensile directions as well as under repeated tensile loading conditions has not been studied yet. Therefore, in this paper, these two limitations are addressed. The auxetic woven fabric was firstly fabricated, and then subjected not only to tensile tests in different tensile directions, including two principle directions and three biased directions, but also to repeated tensile loading. It was found that both the negative Poisson's ratio effect and the resistance to tensile deformation are dependent upon the tensile direction, and the highest negative Poisson's ratio effect and higher resistance to tensile deformation are obtained in two principal directions.

scholarly journals Damage accumulation analysis of cfrp cross-ply laminates under different tensile loading rates

2020 ◽  
Vol 1 ◽  
pp. 100005 ◽  
Author(s):  
Xi Li ◽  
Milad Saeedifar ◽  
Rinze Benedictus ◽  
Dimitrios Zarouchas
Keyword(s):  
Damage Accumulation ◽  
Tensile Loading ◽  
Loading Rates

Damage accumulation behavior of non-crimp fabric-reinforced epoxy composite under static and cyclic tensile loading

2013 ◽  
Vol 22 (4) ◽  
pp. 281-297 ◽  
Author(s):  
T. Sakai ◽  
S. Wakayama ◽  
E. Pérez-Pacheco ◽  
J. Rodriguez-Laviada ◽  
C.R. Rios-Soberanis
Keyword(s):  
Damage Accumulation ◽  
Epoxy Composite ◽  
Tensile Loading ◽  
Accumulation Behavior

scholarly journals A 3D progressive damage model for fatigue analysis of woven fabric composites

2018 ◽  
Author(s):  
DC Pham
Keyword(s):  
Fatigue Damage ◽  
Test Data ◽  
Damage Accumulation ◽  
Damage Model ◽  
Peak Load ◽  
Woven Fabrics ◽  
Woven Fabric ◽  
Stress Criterion ◽  
Damage Initiation ◽  
Fatigue Damage Accumulation

A new 3D damage model is developed to predict the progressive failure and accumulated fatigue damage of woven fabric composite materials. Stress-based failure criteria are used to predict the damage initiation in x-tow, y-tow, and matrix constituent. An S-N based damage accumulation model is implemented to characterize the cycle dependent strength of the x- and y- fiber tows and matrix subjected to axial tension, compression, or in-plane share loading. A curve-fit non-linear shear model is also employed based on the static coupon test data of (+45/-45) woven fabric laminates. A static failure progression module is used to predict the damage and failure at the peak load prior to fatigue cycling. Stiffness degradation, fatigue damage accumulation, and failure mode detection are performed during the fatigue marching process. The developed user-defined material model for Abaqus features: 1) description of initial nonlinear shear before the damage initiation; 2) characterization of failure initiation based on a maximum stress criterion; and 3) performance of fatigue damage accumulation using a phenomenological model based on S-N test data. The predictive capabilities of the developed model are demonstrated using tension-tension fatigue of SYNCOGLAS R420 E-glass woven fabrics.

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