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Elastoplastic mean-field homogenization: recent advances review
Mechanics of Advanced Materials and Structures ( IF 3.6 ) Pub Date : 2020-06-18 , DOI: 10.1080/15376494.2020.1776431
Zoubida Sekkate 1 , Ahmed Aboutajeddine 1 , Abbass Seddouki 1
Affiliation  

Abstract

The never-ending struggle to design new materials for supporting innovative engineering requirements gives composites a worthy focus. This endeavor is challenged by the anisotropic nature of composite material that needs virtual simulations based on non-linear multi-scale modeling. Unfortunately, to accurately characterize the nonlinear behavior of composite materials and to determine the optimized design, the existing micromechanical models are not up to the challenge. Therefore, there is a pressing need to help design engineers getting a clear view of their strengths and weaknesses both from the perspective of their ground hypotheses and their predictive capabilities. This work addresses this goal by ascertaining the accuracy of both prominent and recent micromechanical models and subsequently emphasizes the capability scope of each model. In effect, the different conclusions are summarized in a table. The drawn conclusion is that yet no particular micromechanical model could yield good estimates for different heterogeneous materials and various operating conditions; due mainly to the limitations of their underlying hypotheses even in the linear case. That leads us to argue that the development of a comprehensible linear model with a clear physical background is needed more than ever to help us circumvent the intricacy of the extension to the non-linear case.



中文翻译:

弹塑性平均场均质化:最新进展回顾

摘要

设计新材料以支持创新工程要求的永无止境的斗争使复合材料成为值得关注的焦点。这项工作受到复合材料各向异性性质的挑战,复合材料需要基于非线性多尺度建模的虚拟模拟。不幸的是,为了准确表征复合材料的非线性行为并确定优化设计,现有的微机械模型无法应对挑战。因此,迫切需要帮助设计工程师从他们的基本假设和预测能力的角度清楚地了解他们的优势和劣势。这项工作通过确定突出的和最近的微机械模型的准确性来实现这一目标,并随后强调每个模型的能力范围。实际上,不同的结论总结在一个表格中。得出的结论是,目前还没有特定的微机械模型可以对不同的异质材料和各种操作条件产生良好的估计。主要是由于其基本假设的局限性,即使在线性情况下也是如此。这导致我们认为,比以往任何时候都更需要开发具有清晰物理背景的可理解线性模型,以帮助我们规避扩展到非线性情况的复杂性。

更新日期:2020-06-18
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