.png){kind=icon}
.png){kind=icon}
Return
Improvement in failure prediction algorithm for textile composites
.png){kind=icon}
OA
AI
DOI：10.1177/1056789516658505.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This study presents an analytical modeling of the mechanical behavior of textile composites. The main objective of this study is to evaluate in-plane and out of plane ultimate strengths for different types of 2D and 3D fabric-reinforced polymer. The proposed analytical model consists of a homogenization method, a failure criterion, and a damaged stiffness model. An improved failure prediction algorithm is presented, which tends to enhance the prediction of ultimate strengths. It is shown that assuming a final failure of undulated yarns for a failure of 90% of subdivisions rather than 100%, alongside assigning a multi-failure mode for the failed subdivision rather than single failure mode is yielding much better results. The predicted elastic properties and ultimate strengths are compared to available experimental and numerical data, where a very good agreement is shown. The proposed model offers a reliable, simple, and easy to use analytical tool.
Keywords:
Composite material
ultimate strength
failure
homogenization
analytical model
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.9
Papers:
1.3K
Citations:
2.6K