Research on the Non-Probabilistic Reliability Based on Interval Model

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Due to the dependence of the sample data for a probabilistic reliability model and the fuzzy model, the interval model was used to describe the uncertain parameters through which a new measure of non-probabilistic reliability was established. Studying the model with the non-probabilistic theory, a new measure of non-probabilistic reliability was established which was the minimum distance between the failure region and the total region constructed by all uncertain variables. This kind of measure not only is consistent with the criterion of the non-probabilistic robust reliability, but also has a clearer meaning. The validity and the feasibility were proved through a computational example.

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1908-1912

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May 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ben-Haim Y: Structural Safety. Vol.14 (1994), p.227

Google Scholar

[2] Ben-Haim Y: Structural safety. Vol.17 (1995), p.91

Google Scholar

[3] Elishakoff I: Structure Safety. Vol.17 (1995), p.195

Google Scholar

[4] S. X. Guo, Z. Z. Lv: Chinese Journal of Computational Mechanics. Vol.18 (2001), p.56

Google Scholar

[5] K. J. Xu, L. P. Jiang: Journal of Mechanical Engineering. Vol.10 (2002), p.17

Google Scholar

[6] H. J. Cao, B. Y. Duan: Chinese Journal of Computational Mechanics. Vol. 22 (2005), p.546

Google Scholar

[7] Z. Kang, Y. J. Luo: Chinese Journal of Theoretical and Applied Mechanics. Vol.38 (2006), p.807

Google Scholar

[8] X. F. Zhang, Y. Zhao: Journal of Mechanical Strength. Vol. 29 (2007), p.589

Google Scholar

[9] X. J. Wang, Z. P. Qiu: Chinese Journal of Theoretical and Applied Mechanics. Vol.39 (2007), p.641

Google Scholar