Numerical modeling of plant fiber-reinforced composites: Predicting macroscopic strength and nonlinear behavior through fiber, matrix, and interface failure

IF 3.4 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Valentin Senk , Markus Königsberger , Sebastian Pech , Markus Lukacevic , Michael Schwaighofer , Luis Zelaya-Lainez , Josef Füssl
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Abstract

This paper presents a comprehensive study of the numerical modeling of plant fiber-reinforced biocomposites. It focuses on predicting the complex interactions and failure mechanisms between cellulosic fibers and polymer matrix materials. Utilizing an advanced model incorporating a two-fiber unit cell with periodic boundary conditions, the research addresses all major failure mechanisms, including matrix softening, fiber rupture, and interface failure. Through qualitative and quantitative comparison against biocomposite experiments, the model demonstrates its effectiveness despite its simple microstructural representation. It thus emphasizes its utility in understanding and predicting both the macroscopic nonlinear behavior and the ultimate strength of these composites.

Abstract Image

植物纤维增强复合材料的数值模拟:通过纤维、基体和界面破坏预测宏观强度和非线性行为
本文对植物纤维增强生物复合材料的数值模拟进行了全面的研究。它的重点是预测纤维素纤维和聚合物基体材料之间复杂的相互作用和失效机制。利用一种先进的模型,结合具有周期性边界条件的双纤维单元胞,研究解决了所有主要的破坏机制,包括基体软化、纤维断裂和界面破坏。通过与生物复合材料实验的定性和定量比较,该模型证明了其有效性,尽管其微观结构表示简单。因此,它强调了它在理解和预测宏观非线性行为和这些复合材料的极限强度方面的效用。
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来源期刊
Mechanics of Materials
Mechanics of Materials 工程技术-材料科学:综合
CiteScore
7.60
自引率
5.10%
发文量
243
审稿时长
46 days
期刊介绍: Mechanics of Materials is a forum for original scientific research on the flow, fracture, and general constitutive behavior of geophysical, geotechnical and technological materials, with balanced coverage of advanced technological and natural materials, with balanced coverage of theoretical, experimental, and field investigations. Of special concern are macroscopic predictions based on microscopic models, identification of microscopic structures from limited overall macroscopic data, experimental and field results that lead to fundamental understanding of the behavior of materials, and coordinated experimental and analytical investigations that culminate in theories with predictive quality.
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