journal article·2018-01

Improvement in failure prediction algorithm for textile composites

Ali Hallal, Rafic Younes

Publisher page

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Mechanical Behavior of Composites · Textile materials and evaluations · Natural Fiber Reinforced Composites

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

SDM Research Group, School of Engineering, Lebanese International University, Beirut, Lebanon

Faculty of Engineering, Third Branch, Lebanese University, Rafic Harriri Campus, Hadath, Beirut, Lebanon

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