Skip to main content

Advertisement

Log in

Fuzzy Reliability-Based Optimization for Engineering System Design

  • Published:
International Journal of Fuzzy Systems Aims and scope Submit manuscript

Abstract

Both the performance and the useful life of engineering systems can be affected by uncertainties that have not been considered at the design stage of such systems. Therefore, uncertainty, reliability, and robustness analyses are important tools to evaluate the influence of uncertainties on the operational conditions of machines and structures during the design process. In this contribution, a fuzzy reliability-based optimization procedure is presented. This methodology is based on the fuzzy logic approach and considers both the possibility and fuzzy states assumptions, in which the uncertain parameters are modeled as fuzzy variables. Thus, the associated optimization problems are solved through a nested algorithm. An inner optimization loop is used to obtain the limits of the uncertain variables, and an outer optimization loop evaluates a predefined fuzzy reliability index within the previously obtained bounds. The performance of the proposed approach was evaluated through a benchmark function and two engineering design problems. The reliability fuzzy approach is compared with another existing strategy. The obtained results demonstrate that the proposed approach represents a new alternative to reliability-based design of engineering systems, eliminating the influence of the probability and/or possibility distributions on the obtained results.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

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

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Taguchi, G.: Taguchi on Robust Technology Development: Bringing Quality Engineering Upstream. ASME Press, New York (1993)

    Book  Google Scholar 

  2. Beyer, H.G., Sendhoff, B.: Robust optimization—a comprehensive survey. Comput. Methods Appl. Mech. Eng. 196(33–34), 3190–3218 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  3. Gabrel, V., Murat, C., Thiele, A.: Recent advances in robust optimization: an overview. Eur. J. Oper. Res. 235(3), 471–483 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  4. Tammareddi, S., Sun, G., Li, Q.: Multi-objective robust optimization of coronary stents. Mater. Des. 90(15), 682–692 (2016)

    Article  Google Scholar 

  5. Lobato, F.S., Gonçalves, M.S., Jahn, B., Cavalini Jr., A.A., Steffen Jr., V.: Reliability-based optimization using differential evolution and inverse reliability analysis for engineering system design. J. Optim. Theory Appl. 174(3), 894–926 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  6. Carter, A.D.S.: Mechanical Reliability and Design. Wiley, New York (1997)

    Book  Google Scholar 

  7. Haldar, A., Mahadevan, S.: Probability, Reliability and Statistical Method in Engineering Design. Wiley, New York (2000)

    Google Scholar 

  8. Du, X., Chen, W.: Sequential optimization and reliability assessment method for efficient probabilistic design. J. Mech. Des. 126(2), 225–233 (2004)

    Article  Google Scholar 

  9. Deb, K., Padmanabhan, D., Gupta, S., Mall, A.K.: Handling uncertainties through reliability-based optimization using evolutionary algorithms. IEEE Trans. Evol. Comput. 13(5), 1054–1074 (2009)

    Article  Google Scholar 

  10. Agarwal, H.: Reliability Based Design Optimization: Formulations and Methodologies. Ph.D. Thesis, University of Notre Dame (2004)

  11. Garg, H., Rani, M., Sharma, S.P., Vishwakarma, Y.: Bi-objective optimization of the reliability-redundancy allocation problem for series-parallel system. J. Manuf. Syst. 33(3), 335–347 (2014)

    Article  Google Scholar 

  12. Garg, H.: An efficient biogeography based optimization algorithm for solving reliability optimization problems. Swarm Evol. Comput. 24(1), 1–10 (2015)

    Article  MathSciNet  Google Scholar 

  13. Garg, H.: An approach for solving constrained reliability-redundancy allocation problems using cuckoo search algorithm. Beni-Suef Univ. J. Basic Appl. Sci. 4(1), 14–25 (2015)

    Article  Google Scholar 

  14. Cheng, C.H., Mon, D.L.: Fuzzy system reliability analysis by interval of confidence. Fuzzy Sets Syst. 56(1), 29–35 (1993)

    Article  Google Scholar 

  15. Mon, D.L., Cheng, C.H.: Fuzzy system reliability analysis for components with different membership functions. Fuzzy Sets Syst. 64(2), 145–157 (1994)

    Article  MathSciNet  Google Scholar 

  16. Cremona, C., Gao, Y.: The possibilistic reliability theory: theoretical aspects and applications. Struct. Saf. 19(2), 173–201 (1997)

    Article  Google Scholar 

  17. Bing, L., Meilin, Z., Kai, X.: A practical engineering method for fuzzy reliability analysis of mechanical structures. Reliab. Eng. Syst. Saf. 67(3), 311–315 (2000)

    Article  Google Scholar 

  18. Jiang, Q., Chen, C.H.: A numerical algorithm of fuzzy reliability. Reliab. Eng. Syst. Saf. 80(3), 299–307 (2003)

    Article  Google Scholar 

  19. Garg, H., Rani, M., Sharma, S.P., Vishwakarma, Y.: Intuitionistic fuzzy optimization technique for solving multi-objective reliability optimization problems in interval environment. Expert Syst. Appl. 41(7), 3157–3167 (2014)

    Article  Google Scholar 

  20. Li, G., Lu, Z., Xu, J.: A fuzzy reliability approach for structures based on the probability perspective. Struct. Saf. 54(1), 10–18 (2015)

    Google Scholar 

  21. Wang, C., Qiu, Z., Xu, M., Qiu, H.: Novel fuzzy reliability analysis for heat transfer system based on interval ranking method. Int. J. Therm. Sci. 116(1), 234–241 (2017)

    Article  Google Scholar 

  22. Wang, C., Qiu, Z., Xu, M., Li, Y.: Novel numerical methods for reliability analysis and optimization in engineering fuzzy heat conduction problem. Struct. Multidiscip. Optim. 56(6), 1247–1257 (2017)

    Article  MathSciNet  Google Scholar 

  23. Li, Z.H., Zhou, J.Z., Liu, B.Y.: System reliability analysis method based on fuzzy probability. Int. J. Fuzzy Syst. 19(6), 1759–1767 (2017)

    Article  Google Scholar 

  24. Zadeh, L.: Fuzzy sets as basis for a theory of possibility. Fuzzy Sets Syst. 100(1), 3–28 (1968)

    Article  MathSciNet  MATH  Google Scholar 

  25. Dubois, D., Prade, H.: The three semantics of fuzzy sets. Fuzzy Sets Syst. 90(2), 141–150 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  26. Möller, B., Graf, W., Beer, M.: Fuzzy structural analysis using α-level optimization. Comput. Mech. 26(6), 547–565 (2000)

    Article  MATH  Google Scholar 

  27. Aoues, Y., Chateauneuf, A.: Benchmark study of numerical methods for reliability-based design. Struct. Multidiscip. Optim. 41(2), 277–294 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  28. Vanderplaats, G.N.: Numerical Optimization Techniques for Engineering Design. Vanderplaats Research & Development, Monterey (2005)

    MATH  Google Scholar 

  29. Qu, X., Haftka, R.T.: Reliability-based design optimization using probabilistic sufficiency factor. Struct. Multidiscip. Optim. 27(5), 314–325 (2004)

    Article  Google Scholar 

  30. Wei, L.K., Gautama, I.: A single loop reliability-based design optimization using EPM and MPP-based PSO. Latin Am. J. Solids Struct. 11(5), 826–847 (2014)

    Article  Google Scholar 

  31. Gu, L., Yang, R.J., Tho, C.H., Makowski, L., Faruque, O., Li, Y.: Optimization and robustness for crashworthiness of side impact. Int. J. Veh. Des. 26(4), 348–360 (2001)

    Article  Google Scholar 

Download references

Acknowledgements

The authors are thankful for the financial support provided to the present research effort by CNPq (574001/2008-5, 304546/2018-8, and 431337/2018-7), FAPEMIG (TEC-APQ-3076-09, TEC-APQ-02284-15, TEC-APQ-00464-16, and PPM-00187-18), and CAPES through the INCT-EIE.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aldemir Ap Cavalini Jr..

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dourado, A.D., Lobato, F.S., Cavalini, A.A. et al. Fuzzy Reliability-Based Optimization for Engineering System Design. Int. J. Fuzzy Syst. 21, 1418–1429 (2019). https://doi.org/10.1007/s40815-019-00655-5

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40815-019-00655-5

Keywords