Fatigue and Fracture of Engineering Materials and Structures, volume 37, issue 1, pages 50-61

A method to develop a unified fatigue life prediction model for filled natural rubbers under uniaxial loads

Xiao-Li Wang 1
Wen-bin Shangguan 1, 2
Subhash Rakheja 1
Wu Cheng Li 2
Bin Yu 3
2
 
Ningbo Tuopu Group Co., Ltd.; Ningbo 315800 China
3
 
Pan Asia Technical Automotive Center Co., Ltd.; Shanghai 201201 China
Publication typeJournal Article
Publication date2013-07-26
scimago Q1
SJR0.737
CiteScore6.3
Impact factor3.1
ISSN8756758X, 14602695
General Materials Science
Mechanical Engineering
Mechanics of Materials
Abstract
Rubber components are widely used in many fields because of their superior elastic properties. Fatigue failures, commonly encountered in rubber components, however, remain a critical issue. In this study, the effect of strain ratio R on the fatigue life of filled natural rubbers used in automotive mounts is investigated experimentally and numerically. A uniaxial tension/compression fatigue experiment was conducted on dumb-bell cylindrical rubber specimens subject to loads representing different R ratios. The experimental fatigue data are used to formulate two preliminary fatigue models based on peak strain and strain amplitude as the damage parameters. The deficiencies of these two models in predicting fatigue life over a wide range of R ratios are discussed, and an alternative life prediction model is proposed. The proposed model incorporates the effect of R ratio using an equivalent strain amplitude. It is shown that the proposed model could effectively predict fatigue life over a wide range of R ratios with an improved accuracy.
Found 
Found 

Top-30

Journals

1
2
3
4
5
6
7
8
9
1
2
3
4
5
6
7
8
9

Publishers

2
4
6
8
10
12
14
2
4
6
8
10
12
14
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Share
Cite this
GOST | RIS | BibTex | MLA
Found error?