Computational homogenization for the estimation of overall properties in linear viscoelastic composites

IF 2.5 3区 工程技术 Q2 MECHANICS
Reinaldo Rodríguez-Ramos, Panters Rodríguez-Bermúdez, Sergio Cordero Calvimontes, Jorge A. Rodriguez Duran, Jose A. Otero, Yoanh Espinosa-Almeyda
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引用次数: 0

Abstract

This study introduces a computational approach using the two-scale asymptotic homogenization method to analyze the effective behavior of composites with layered periodic structures, avoiding the use of integral transforms, which are associated with the theoretical basis in the elastic-viscoelastic correspondence principle. By combining quadrature techniques with an efficient arrangement of Lambda functions, this method automates the calculation of effective coefficients, speeding up intricate simulations in periodic media. The Dischinger and Scott Blair-Rabotnov kernels are considered in elastic and viscoelastic bi-phasic layered composites. The numerical results of the present model are compared with semi-analytical calculations reported in the literature for different cases of layered composite problems. The developed algorithm demonstrates strong potential for improving the accuracy, robustness, and adaptability of computational homogenization techniques in the analysis and design of advanced composite materials.

线性粘弹性复合材料综合性能估计的计算均匀化
本文引入了一种采用双尺度渐近均匀化方法来分析具有层状周期结构的复合材料的有效行为的计算方法,避免了使用与弹性-粘弹性对应原理的理论基础相关的积分变换。通过将正交技术与Lambda函数的有效排列相结合,该方法可以自动计算有效系数,加快周期介质中复杂的模拟。研究了弹性和粘弹性双相层状复合材料中的Dischinger核和Scott Blair-Rabotnov核。对不同层状复合材料问题的数值计算结果与文献报道的半解析计算结果进行了比较。在先进复合材料的分析和设计中,该算法在提高计算均匀化技术的准确性、鲁棒性和适应性方面具有强大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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