Fatigue Life Prediction of the Vulcanized Natural Rubber

Author:

Woo Chang Su1,Kim Wan Doo1,Kwon Jae Do2,Kim Wan Soo

Affiliation:

1. Korea Institute of Machinery and Materials

2. Yeungnam University

Abstract

Fatigue lifetime prediction methodology of the vulcanized natural rubber was proposed by incorporating the finite element analysis and fatigue damage parameter determined from fatigue test. Finite element analysis of 3D dumbbell specimen of natural rubber was performed based on a hyper-elastic material model determined from the tension, compression and shear tests. Stroke controlled fatigue tests were conducted using fatigue specimens at different levels of mean strain. The Green-Lagrange strain at the critical location determined from the FEM was used for evaluating the fatigue damaged parameter of the natural rubber. It was shown that the maximum Green-Lagrange strain was proper damage parameter, taking the mean strain effects into account. Fatigue lives of the natural rubber are predicted by using the fatigue damage parameters at the critical location. Predicted fatigue lives of the natural rubber agreed fairly well the experimental fatigue lives a factor of two.

Publisher

Trans Tech Publications, Ltd.

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference12 articles.

1. A.N. Gent: Engineering with Rubber (Hanser Gardner, 2001).

2. W.V. Mars and A. Fatemi.: A literature Survey on fatigue analysis approaches for rubber, International Journal of Fatigue Vol. 24 (2002), pp.949-961.

3. G.J. Lake: Fatigue and fracture of elastomers, Rubber Chemistry and Technology Vol. 68 (1995), pp.435-460.

4. R.C. Riu: Fatigue Design Handbook, 3rd ed., Warrendale: Society of Automotive Engineers (1997), pp.259-278.

5. MSC Software Corporation: Nonlinear Finite Element Analysis of Elastomer (2000).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3