基于构形力学的短纤维增强橡胶复合材料现象学老化损伤超弹性模型

IF 2.2 3区 工程技术 Q2 MECHANICS
Shenghao Chen, Chunguang Wang, Qun Li
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引用次数: 0

摘要

短纤维增强橡胶复合材料(SFRCs)的损伤和老化对相关产品的性能和稳定性有重要影响。然而,橡胶材料内部短纤维的存在和其大变形特性给其损伤行为的表征带来了困难。因此,研究材料的损伤行为以及时效对力学性能的影响,建立精确的本构模型是十分必要的。本研究将构形力学扩展到超弹性材料,并引入等效构形应力作为表征损伤的物理变量的概念,从而建立了一个耦合老化和损伤的本构模型。通过不同老化状态下的单轴拉伸试验,分析了钢纤维混凝土的损伤行为,验证了本构模型的准确性。此外,本研究还强调了结构力学在复合材料损伤表征中的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A phenomenological aging-damage hyperelastic model based on configurational mechanics for short fiber-reinforced rubber composites

The damage and aging of short fiber-reinforced rubber composites (SFRCs) have a significant impact on the performance and stability of associated products. However, the presence of internal short fibers and the large deformation characteristics of rubber materials make it difficult to characterize the damage behavior. Therefore, it is imperative to investigate the material’s damage behavior, as well as the influence of aging on mechanical properties, and develop a precise constitutive model. This study extends configurational mechanics to hyperelastic materials and introduces the concept of equivalent configurational stress as a physically meaningful variable representing damage, thereby establishing a constitutive model that couples aging and damage. Uniaxial tensile tests were performed on samples in various aging states to analyze the damage behavior of SFRCs and validate the accuracy of the proposed constitutive model. Furthermore, this research highlights the prospective application of configuration mechanics in characterizing damage in composite materials.

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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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