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Structural Reliability Analysis with Inverse Credibility Distributions

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  • Palash Dutta

    (Department of Mathematics, Dibrugarh University, Dibrugarh 786004, India)

Abstract

In structural reliability analysis, parameters of reliability analysis models are more often vague/imprecise or many times intuitively illustrated through linguistic expressions, so the conformist evaluation techniques cannot efficiently lever the vagueness and ambiguity exist in reliability parameters which fetch the problem of huge computationally complex and meagre accuracy. Keeping all these deficiencies in mind, this present paper proposes a novel structural reliability analysis technique through inverse credibility distributions with the intention to obtain the precision and efficiency of structural reliability. Finally, some structural reliability analysis problems are solved in this setting.

Suggested Citation

  • Palash Dutta, 2019. "Structural Reliability Analysis with Inverse Credibility Distributions," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 47-63, March.
    • Handle: RePEc:wsi:nmncxx:v:15:y:2019:i:01:n:s1793005719500030
    DOI: 10.1142/S1793005719500030
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    References listed on IDEAS

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    1. Eldred, M.S. & Swiler, L.P. & Tang, G., 2011. "Mixed aleatory-epistemic uncertainty quantification with stochastic expansions and optimization-based interval estimation," Reliability Engineering and System Safety, Elsevier, vol. 96(9), pages 1092-1113.
    2. Zhang, Z. & Jiang, C. & Wang, G.G. & Han, X., 2015. "First and second order approximate reliability analysis methods using evidence theory," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 40-49.
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