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	填充橡胶本构模型研究进展
	危银涛 ; 方庆红 ; 金状兵 ; 冯希金 ; WEI Yin-tao ; FANG Qing-hong ; JIN Zhuang-bing ; FENG Xi-jin
	2016-03-30 ; 2016-03-30
关键词	填充橡胶 本构模型 流变 黏弹性 超弹性 Filled rubber Constitutive model Rheology Viscoelasticity Hyperelasticity TQ330
其他题名	Research Progress on Constitutive Model of Filled Rubber
中文摘要	填充橡胶材料是由纳米粒子增强的复合多相材料。由于橡胶交联网络和填充粒子所形成的二级网络并存,填充橡胶呈现出复杂的力学行为,如大变形黏超弹性、动态应力软化效应,自生热效应等。如何构建合理的本构模型准确描述其力学行为一直是橡胶材料研究的热点和难点。而近年来数值仿真技术的发展对填充橡胶本构关系的可靠性,准确性和数值稳定性提出了更高的要求。本文综合前人工作,总结了填充橡胶超弹性、黏弹性、流变本构研究的进展。特别从本构关系与有限元分析相容性的角度,分析了各常用模型的精度、使用范围和参数化性能,为橡胶力学仿真提供指导,并指出了目前橡胶本构模型研究中所存在的问题,探讨了改进的方向。; Filled rubber is a type of multi-phase composite reinforced by nanoparticles.The coexistence of the rubber crosslinks and the secondary network formed by nanoparticles leads to extremely complicated mechanical behaviors like large deformation visco-hyperelastic,dynamical stress softening,self-heating effects etc.How to describe these behaviors using a reasonable constitutive model is a popular and challenge subject for rubber researchers.In recent years the advancement of the simulation technology makes strong requirements for the reliability,accuracy and numerical stability of rubber constitutive model.This paper presents a review of the state of the art rubber constitutive models,especially with regard to the research progresses on hyperelastic,viscoelastic and rheological models.Furthermore,from the perspective of the numerical compatibility between FEA method and rubber constitutive model application,this paper discusses the precision,application range and parameterization of some commonly used rubber constitutive models,which provides guidance to rubber mechanical simulation.Moreover,the challenge and directions for the current rubber constitutive model research has been explored.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/144739]
专题	清华大学
推荐引用方式 GB/T 7714	危银涛,方庆红,金状兵,等. 填充橡胶本构模型研究进展[J],2016, 2016.
APA	危银涛.,方庆红.,金状兵.,冯希金.,WEI Yin-tao.,...&FENG Xi-jin.(2016).填充橡胶本构模型研究进展..
MLA	危银涛,et al."填充橡胶本构模型研究进展".(2016).

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