Skip to main content
SpringerLink
Log in

Low Circle Fatigue Life Model Based on ANFIS

  • Conference paper
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques (ICIC 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 15))

Included in the following conference series:

Abstract

With the adaptive network fuzzy inference system (ANFIS), this paper presents a method of building a model of the low circle fatigue life. According to real experiment data got in the low circle fatigue experiment, a fatigue life model for low fatigue experiment is built. Finally, comparing with the Manson-Coffin equation, it can be concluded that the model of ANFIS is accurately and effectively.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Kazazian, H.H., Phillips, J.A., Boehm, C.D., Vik, T.A., Mahoney, M.J., Ritchey, A.K.: Prenatal Diagnosis of Beta-thalassemia by Amniocentesis: Linkageanalysis using Multiple Polymorphic Restriction Endonuclease Sites. Blood 56, 926–930 (1980)

    Google Scholar 

  2. Esragh, F., Mamdani, E.H.: A General Approach to Linguistic Approximation. In: Fuzzy Reasoning and Its Application, London (1981)

    Google Scholar 

  3. Kazeminezhad, M.H., Etemad-Shahidi, A., Mousavi, S.J.: Application of Fuzzy Inference System in the Prediction of Wave Parameters. Ocean Engin. 32, 1709–1725 (2005)

    Article  Google Scholar 

  4. Haykin, S.: Neural Networks: A Comprehensive Foundation. Macmillan Publishing, New York (1999)

    MATH  Google Scholar 

  5. Fu, J.Y., Liang, S.G., Li, Q.S.: Prediction of Wind-induced Pressures on a Large Gymnasium Roof using Artificial Neural Networks. Computers and Structures 85, 179–192 (2007)

    Article  Google Scholar 

  6. Guler, I.: Adaptive Neuro-fuzzy Inference System for Gap Discontinuities in Coplanar Waveguides. Int. J. Electron. 92, 173–188 (2005)

    Article  Google Scholar 

  7. Übeyli, E.D., Güler, İ.: Adaptive Neuro-Fuzzy Inference Systems for Analysis of Internal Carotid Arterial Doppler Signals. Comput. Biol. Med. 35, 687–702 (2005)

    Article  Google Scholar 

  8. Shalinie, S.M.: Modeling Connectionist Neuro-Fuzzy Network and Applications. Neural Comput. Applic. 14, 88–93 (2005)

    Article  Google Scholar 

  9. Jang, J.S.R., Sun, C.T., Mizutani, E.: Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. Prentice-Hall, Upper Saddle River (1997)

    Google Scholar 

  10. Roger, J.J.S.: ANFIS: Adaptive Network-based Fzzy Inference Systems. IEEE Tran Systems, Man and Cybernatics 23(3), 665–685 (1993)

    Article  Google Scholar 

  11. Stepnowski, A., Mo szyński, M., Tran, V.D.: Adaptive Neuro-Fuzzy and Fuzzy Decision Tree Classifiers as Applied to Seafloor Characterization. Acoust. Physics 49(2), 193–202 (2003)

    Article  Google Scholar 

  12. Ertuğrul, Ç., Osman, Y.: Prediction of Wind Speed and Power in the Central Anatolian Region of Turkey by Adaptive Neuro-Fuzzy Inference Systems (ANFIS). J. Eng. Env. Sci. 30, 35–41 (2006)

    Google Scholar 

  13. Miyano, Y., Nakada, M., McMurray, M.K., Muki, R.: Prediction of Flexural Fatigue Strength of CFRP Composites under Arbitrary Frequency, Stress Ratio and Temperature. Journal of Composite Materials 31, 619–638 (1997)

    Google Scholar 

  14. Miyano, Y., McMurray, M.K., Enyama, J., Nakada, M.: Loading Rate and Temperature Dependence on Flexural Fatigue Behavior of a Satin Woven CFRP Laminate. Journal of Composite Materials 28, 1250–1260 (1994)

    Google Scholar 

  15. Qi, H.Y., Wen, W.D., Sun, L.W.: Fatigue Life Prediction and Experiment Research for Composite Laminates with Circular Hole. J. Cent. South Univ. Techno. 11(1), 19–22 (2004)

    Article  Google Scholar 

  16. Caprino, G., Amore, A.: Fatigue Life of Draphite/Epoxy Laminates Subjected to Tension-Compression Loadings. Mechanics of Time-dependent Materials 4, 139–154 (2000)

    Article  Google Scholar 

  17. Novozhilov, N.I.: Prediction of Fatigue Life and the Technicoeconomic Efficiency of High-Strength Steel Railway Bridge Structures. Strength of Materials 10(1), 43–47 (1978)

    Article  Google Scholar 

  18. Dai, Z.Y.: Fatigue Damage Critical and Damage Locality. In: Wang, G.G., Gao, Q. (eds.) Solid Damage and Destroy, pp. 75–81. Chengdu University Science and Technology Press, Chengdu (1993)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Automobile Engineering, Shanghai University of Engineering Science, 201620, Shanghai, China

    Changhong Liu, Xintian Liu, Hu Huang & Lihui Zhao

  2. School of Mechanical Engineering, Shanghai Jiao Tong University, 200240, Shanghai, China

    Lihui Zhao

Authors
  1. Changhong Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xintian Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hu Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Lihui Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

De-Shuang Huang Donald C. Wunsch II Daniel S. Levine Kang-Hyun Jo

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, C., Liu, X., Huang, H., Zhao, L. (2008). Low Circle Fatigue Life Model Based on ANFIS. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2008. Communications in Computer and Information Science, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85930-7_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-85930-7_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85929-1

  • Online ISBN: 978-3-540-85930-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation