Progressive damage analysis of 3D braided composites using FFT-based method

2018 ◽  
Vol 192 ◽  
pp. 255-263 ◽  
Author(s):  
Bing Wang ◽  
Guodong Fang ◽  
Shuo Liu ◽  
Maoqing Fu ◽  
Jun Liang
2017 ◽  
Vol 39 (11) ◽  
pp. 4188-4204 ◽  
Author(s):  
Ziyang Tian ◽  
Ying Yan ◽  
Jinxin Ye ◽  
Yang Hong ◽  
Xin Li

2016 ◽  
Vol 23 (4) ◽  
pp. 839-856 ◽  
Author(s):  
Bing Lei ◽  
Zhenguo Liu ◽  
Jixuan Ya ◽  
Yibo Wang ◽  
Xiaokang Li

2020 ◽  
pp. 152808372098017
Author(s):  
Chao Zhang ◽  
Jianchun Liu ◽  
Tinh Quoc Bui ◽  
Jose L Curiel-Sosa ◽  
Jinzhong Lu

The yarn/yarn and yarn/matrix interface debonding has been recognized as a vital failure mode of 3 D braided composites. We present in this paper a meso-scale finite element (FE) model, which considers yarn/yarn and yarn/matrix interface debonding, for modeling progressive damage evolution of 3 D braided composites under typical tensile and shear loadings. In this setting, the damage state of braiding yarns and matrix is described through a continuum damage model (CDM) coupled with Murakami damage tensor; a bilinear traction-separation description is employed to govern the yarn/yarn and yarn/matrix interface behavior modeled by surface-based cohesive contact. We thus develop a user-material subroutine VUMAT (ABAQUS/Explicit) for our progressive damage simulation, including stress analysis, failure analysis and material properties degradation scheme. The mechanical properties of 3 D braided composites, and more importantly the damage evolution of interface debonding are thoroughly analyzed. The proposed FE modeling strategy provides a new perspective for the interface response study of other textile composites.


2021 ◽  
Vol 12 (1) ◽  
pp. 51
Author(s):  
Minrui Jia ◽  
Zhenkai Wan

Carbon nanotube (CNT) yarn sensors were embedded in 3D braided composites in the form of arrays to detect the internal damage of specimens and study the internal damage monitoring of the 3D braided composites. The signals collected by the sensor array of CNT yarn were preprocessed using the dynamic wavelet threshold algorithm. The exact position of the damage was calculated based on the main features of the resistance signal matrix, which was calculated using the quadratic matrix singular value. The results show that the internal damage localization of the specimens was consistent with the actual damage. The localizations in this study can provide a basis for enhancing the structural health monitoring of smart 3D braided composites.


2020 ◽  
Vol 231 (12) ◽  
pp. 5047-5061
Author(s):  
Bing Wang ◽  
Guodong Fang ◽  
Jun Liang ◽  
Shuo Liu ◽  
Songhe Meng

2020 ◽  
Vol 249 ◽  
pp. 112471 ◽  
Author(s):  
Chunwang He ◽  
Jiaying Gao ◽  
Hengyang Li ◽  
Jingran Ge ◽  
Yanfei Chen ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Huixiao Bai ◽  
Gang Ding ◽  
Shusheng Jia ◽  
Jinguo Hao

Carbon nanotube yarns are embedded in three-dimensional (3D) braided composites with five-axis yarns, which are used as strain sensors to monitor the damage of 3D braided composites. In the cyclic mechanical loading experiment, the strain-sensing characteristics of 3D braided composites were studied by in situ measuring the resistance change of the embedded carbon nanotube yarn. The 3D five-directional braided composite prefabricated part based on carbon nanotube yarns was developed, and the progressive damage accumulation experiments were carried out on carbon nanotube yarns and specimens embedded in carbon nanotube yarns. The research results show that there is a good correlation between the change of relative resistance of the carbon nanotube yarn and the strain of the composite specimen during cyclic loading and unloading. When the tensile degree of the specimen increases beyond a certain range, the carbon nanotube yarn sensor embedded in the specimen shows resistance hysteresis and produces residual resistance. Therefore, the fiber can better monitor the progressive damage accumulation of 3D five-direction braided composites.


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