Fracture and Structural Integrity e-ISSN 1971-8993 Open access
Fatigue Vol. 17, No. 64 (2023)

Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm

Author and affiliation details
  • Yangjinyu Li Corresponding author Software Technology Institute, Dalian Jiaotong University, Dalian, China djtulyjy@163.com
  • Li Zou Software Technology Institute, Dalian Jiaotong University, Dalian, China; Liaoning Key Laboratory of Welding and Reliability of Rail Transportation Equipment, Dalian Jiaotong University, Dalian, China; Dalian Key Laboratory of Welded Structures and Its Intelligent Manufacturing Technology (IMT) of Rail Transportation Equipment, Dalian Jiaotong University, China
  • Zhengjie Zhu Software Technology Institute, Dalian Jiaotong University, Dalian, China
DOI
10.3221/IGF-ESIS.64.17
Pages
250-265
Published
Licence
CC BY 4.0
Published inVol. 17, No. 64 (2023)Go to the issue

Abstract

S-N curve fatigue samples of titanium alloy welded joints have such a comparatively significant scatter, that results in the issue that the fatigue life prediction accuracy is not optimal. In this work, the titanium alloy welded joints' fatigue data is used as analysis data, and the neighborhood rough set reduction with improved firefly algorithm efficient method of fitting stress-life curves is set forth. The welded joint's fatigue decision system is built with fatigue data. The continuous iteration of the firefly algorithm is used as the search strategy, the neighborhood rough set is adopted to decrease attributes, and the major deciding elements of welded joints' fatigue life is identified. The fatigue characteristic domains are divided based on the neighborhood rough set reduction with improved firefly algorithm's key factor set, and the S-N curves can then be fitted to each domain individually. According to the goodness-of-fit analysis, the proposed approach can improve fatigue life accuracy and reduce sample scattering from fatigue.

Keywords

Article history

  1. ReceivedUntil the next stage: 28 days
  2. Revision requestedUntil the next stage: 14 days
  3. RevisedUntil the next stage: 0 days
  4. AcceptedUntil the next stage: 5 days
  5. Published

How to cite

APA

Li, Y., Zou, L., & Zhu, Z. (2023). Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm. Fracture and Structural Integrity, 17(64), 250–265. https://doi.org/10.3221/IGF-ESIS.64.17

IEEE

Y. Li, L. Zou, and Z. Zhu, “Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm,” Fracture and Structural Integrity, vol. 17, no. 64, pp. 250–265, 2023, doi: 10.3221/IGF-ESIS.64.17.

MLA

Li, Yangjinyu, et al. “Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm.” Fracture and Structural Integrity, vol. 17, no. 64, 2023, pp. 250–265. https://doi.org/10.3221/IGF-ESIS.64.17.

Chicago

Li, Yangjinyu, Li Zou, and Zhengjie Zhu. 2023. “Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm.” Fracture and Structural Integrity 17 (64): 250–265. https://doi.org/10.3221/IGF-ESIS.64.17.

Harvard

Li, Y., Zou, L. and Zhu, Z. (2023) ‘Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm’, Fracture and Structural Integrity, 17(64), pp. 250–265. doi: 10.3221/IGF-ESIS.64.17.

Vancouver

Li Y, Zou L, Zhu Z. Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm. Fracture and Structural Integrity. 2023;17(64):250-265. doi:10.3221/IGF-ESIS.64.17

BibTeX

@article{li2023, author = {Li, Yangjinyu and Zou, Li and Zhu, Zhengjie}, title = {Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm}, journal = {Fracture and Structural Integrity}, year = {2023}, volume = {17}, number = {64}, pages = {250--265}, doi = {10.3221/IGF-ESIS.64.17}, url = {https://doi.org/10.3221/IGF-ESIS.64.17}, issn = {1971-8993} }

RIS

TY - JOUR AU - Li, Yangjinyu AU - Zou, Li AU - Zhu, Zhengjie TI - Optimization of S-N curve fitting based on neighborhood rough set reduction with improved firefly algorithm JO - Fracture and Structural Integrity T2 - Fracture and Structural Integrity PY - 2023 DA - 2023/03/21 VL - 17 IS - 64 SP - 250 EP - 265 DO - 10.3221/IGF-ESIS.64.17 UR - https://doi.org/10.3221/IGF-ESIS.64.17 SN - 1971-8993 ER -

Licence

Creative Commons Attribution 4.0 International

May be shared and adapted, provided appropriate credit is given. Copyright © 2023 Yangjinyu Li, Li Zou, Zhengjie Zhu.

Copyright 
Authors are allowed to retain both the copyright and the publishing rights of their articles without restrictions.  

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