Volume 45 Issue 4
Apr.  2024
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QIAO Xinzhou, ZHAO Yuetong, FANG Xiurong, LIU Peng. Non-Probabilistic Reliability Indexes Based on the Generalized Super Ellipsoid Model[J]. Applied Mathematics and Mechanics, 2024, 45(4): 458-469. doi: 10.21656/1000-0887.440061
Citation: QIAO Xinzhou, ZHAO Yuetong, FANG Xiurong, LIU Peng. Non-Probabilistic Reliability Indexes Based on the Generalized Super Ellipsoid Model[J]. Applied Mathematics and Mechanics, 2024, 45(4): 458-469. doi: 10.21656/1000-0887.440061

Non-Probabilistic Reliability Indexes Based on the Generalized Super Ellipsoid Model

doi: 10.21656/1000-0887.440061
  • Received Date: 2023-03-07
  • Rev Recd Date: 2023-09-17
  • Publish Date: 2024-04-01
  • The non-probabilistic convex model only requires the bounds or domains of structural uncertain parameters to measure structural reliability, and therefore is more appropriate for engineering structures with limited experimental data. The problem of non-probabilistic reliability measurement of the generalized super ellipsoid model was studied. A simple non-probabilistic reliability index was first proposed to evaluate the safety degree of a structure, which was defined as the ratio of the mean value of the performance function to its deviation. The inconsistency problem in the simple non-probabilistic reliability index was further discussed. To overcome the above inconsistency problem, a ratio factor reliability index was then presented, which was defined as the minimum ratio factor at which the failure surface is in contact with the uncertainty domain contracting inward or expanding outward. Three numerical examples demonstrate the validity and feasibility of the proposed non-probabilistic reliability indexes.
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