Fracture and Structural Integrity e-ISSN 1971-8993 Open access
Miscellanea Vol. 11, No. 40 (2017)

S-N curve modeling method of Aluminum alloy welded joints based on the fatigue characteristics domain

Author and affiliation details
  • Li Zou Corresponding author lizou@djtu.edu.cn
  • Xinhua Yang
  • Jianrong Tan
  • Yibo Sun
DOI
10.3221/IGF-ESIS.40.12
Pages
Pages 137-148
Published
Published inVol. 11, No. 40 (2017)Go to the issue

Abstract

The scatter degree of the fatigue samples is reduced when the nodal force based structural method is used for steel welded joints, while it is still high for aluminum alloy welded joints. Statistical method and rough set theory is used to fatigue analysis so that fatigue characteristic domains are determined and S-N curves are fitted. Experiment results show that fatigue life of the aluminum alloy welded joints is under the influence of some key factors and the fatigue data with the same characteristics distribute in a relatively independent area. Accordingly, a novel S-N curve modeling method of aluminum alloy welded joints based on the fatigue characteristics domain is proposed. In the proposed method, the nodal force based structural stress method is used for stress calculation and neighborhood rough set theory is used for character extraction to obtain the key factors. Then fatigue characteristics domains are divided and S-N curves are fitted on each fatigue characteristics domain instead of on the whole domain so that a set of S-N curves are obtained. Statistical results show that selection of the S-N curve for the aluminum alloy welded joints according to different fatigue characteristic domain is more accurate.

Keywords

Article history

  1. ReceivedUntil the next stage: 0 days
  2. AcceptedUntil the next stage: 465 days
  3. Published

How to cite

APA

Zou, L., Yang, X., Tan, J., & Sun, Y. (2018). S-N curve modeling method of Aluminum alloy welded joints based on the fatigue characteristics domain. Fracture and Structural Integrity, 11(40), Pages 137–148. https://doi.org/10.3221/IGF-ESIS.40.12

IEEE

L. Zou, X. Yang, J. Tan, and Y. Sun, “S-N curve modeling method of Aluminum alloy welded joints based on the fatigue characteristics domain,” Fracture and Structural Integrity, vol. 11, no. 40, pp. Pages 137–148, 2018, doi: 10.3221/IGF-ESIS.40.12.

MLA

Zou, Li, et al. “S-N curve modeling method of Aluminum alloy welded joints based on the fatigue characteristics domain.” Fracture and Structural Integrity, vol. 11, no. 40, 2018, pp. Pages 137–148. https://doi.org/10.3221/IGF-ESIS.40.12.

Chicago

Zou, Li, Xinhua Yang, Jianrong Tan, and Yibo Sun. 2018. “S-N curve modeling method of Aluminum alloy welded joints based on the fatigue characteristics domain.” Fracture and Structural Integrity 11 (40): Pages 137–148. https://doi.org/10.3221/IGF-ESIS.40.12.

Harvard

Zou, L., Yang, X., Tan, J. and Sun, Y. (2018) ‘S-N curve modeling method of Aluminum alloy welded joints based on the fatigue characteristics domain’, Fracture and Structural Integrity, 11(40), pp. Pages 137–148. doi: 10.3221/IGF-ESIS.40.12.

Vancouver

Zou L, Yang X, Tan J, Sun Y. S-N curve modeling method of Aluminum alloy welded joints based on the fatigue characteristics domain. Fracture and Structural Integrity. 2018;11(40):Pages 137-148. doi:10.3221/IGF-ESIS.40.12

BibTeX

@article{zou2018, author = {Zou, Li and Yang, Xinhua and Tan, Jianrong and Sun, Yibo}, title = {S-N curve modeling method of Aluminum alloy welded joints based on the fatigue characteristics domain}, journal = {Fracture and Structural Integrity}, year = {2018}, volume = {11}, number = {40}, pages = {Pages 137--148}, doi = {10.3221/IGF-ESIS.40.12}, url = {https://doi.org/10.3221/IGF-ESIS.40.12}, issn = {1971-8993} }

RIS

TY - JOUR AU - Zou, Li AU - Yang, Xinhua AU - Tan, Jianrong AU - Sun, Yibo TI - S-N curve modeling method of Aluminum alloy welded joints based on the fatigue characteristics domain JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2018 DA - 2018/07/11 VL - 11 IS - 40 SP - Pages 137 EP - 148 DO - 10.3221/IGF-ESIS.40.12 UR - https://doi.org/10.3221/IGF-ESIS.40.12 SN - 1971-8993 ER -

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