Skip to main content
Log in

Probability and convexity concepts are not antagonistic

  • Published:
Acta Mechanica Aims and scope Submit manuscript

Abstract

This study is devoted to two objectives to illustrate that the probability and convexity concepts are not antagonistic and to introduce a new non-probabilistic convex model for structural reliability analysis. It is shown that the new measure of safety is easier to evaluate than the corresponding measure utilizing the interval analysis. Moreover, interrelation between the classical probabilistic method and convex modeling method is demonstrated. The purpose of this study is not to replace the probabilistic approach by the convex modeling method, but to illustrate that the probability and convexity concepts are compatible. Some numerical examples are presented to illustrate the feasibility of the proposed methodology.

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

Access this article

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

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Wang G.Y.: On the development of uncertain structural mechanics (in Chinese). Adv. Appl. Mech. 32(2), 205–211 (2002)

    Google Scholar 

  2. Oberkampf W.L., Helton J.C., Joslyn C.A., Wojtkiewicz S.F., Ferson S.: Challenge problems: uncertainty in system response given uncertain parameters. Reliab. Eng. Syst. Saf. 85, 11–19 (2004)

    Article  Google Scholar 

  3. Elishakoff I.: Three versions of the finite element method based on concepts of either stochasticity, fuzziness or anti-optimization. Appl. Mech. Rev. 51(3), 209–218 (1998)

    Article  Google Scholar 

  4. Ben-Haim Y., Elishakoff I.: Convex Models of Uncertainty in Applied Mechanics. Elsevier, Amsterdam (1990)

    MATH  Google Scholar 

  5. Qiu Z.P., Wang X.J.: Set-Theoretical Convex Methods for Problems in Structural Mechanics with Uncertainties (in Chinese). Science Press, Beijing (2008)

    Google Scholar 

  6. Elishakoff I., Ohsaki M.: Optimization and Anti-Optimization of Structures Under Uncertainty. Imperial College Press, London (2010)

    Book  MATH  Google Scholar 

  7. Ben-Haim Y.: Robust reliability of structures. Adv. Appl. Mech. 33, 1–41 (1997)

    Article  Google Scholar 

  8. Guo S.X., Lu Z.Z., Feng S.Y.: A non-probabilistic model of structural reliability based on interval analysis (in Chinese). Chin. J. Comput. Mech. 18(1), 56–60 (2001)

    Google Scholar 

  9. Elishakoff I.: Discussion on the paper: a non-probabilistic concept of reliability. Struct. Saf. 17(3), 195–199 (1995)

    Article  Google Scholar 

  10. Guo X.S., Lu Z.Z.: Procedure for analyzing the fuzzy reliability of mechanical structures when parameters of probabilistic models are fuzzy (in Chinese). J. Mech. Strength 25(5), 527–529 (2003)

    Google Scholar 

  11. Qiu P.Z., Mueller C.P., Frommer A.: The new non-probabilistic criterion of failure for dynamical systems based on convex models. Math. Comput. Model. 40(1–2), 201–215 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  12. Qiu P.Z., Chen Q.S., Wang J.X.: Criterion of the non-probabilistic robust reliability for structures (in Chinese). Chin. J. Comput. Mech. 21(1), 1–6 (2004)

    Google Scholar 

  13. Wang X.J.: Robust reliability of structural vibration. J. Beijing Univ. Aeronaut. Astronaut. 29(11), 1006–1010 (2003) (in Chinese)

    Google Scholar 

  14. Wang X.J., Qiu P.Z., Elishakoff I.: Non-probabilistic set-model for structural safety measure. Acta Mech. 198, 51–64 (2008)

    Article  MATH  Google Scholar 

  15. Elishakoff, I.: Are probabilistic and antioptimization methods interrelated? In: Elishakoff, I. (ed.) Whys and Hows in Uncertainty Modeling: Probability Fuzziness and Anti-Optimization, Springer, Wien (1999)

  16. Ziegler F.: Private communication (2010)

  17. Entropy (information theory) From Wikipedia, the free encyclopedia. http://en.wikipedia.org/wiki/Entropy_%28information_theory%29

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaojun Wang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, X., Wang, L., Elishakoff, I. et al. Probability and convexity concepts are not antagonistic. Acta Mech 219, 45–64 (2011). https://doi.org/10.1007/s00707-010-0440-4

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00707-010-0440-4

Keywords

Navigation