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Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review

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Abstract

Traditional structural uncertainty analysis is mainly based on probability models and requires the establishment of accurate parametric probability distribution functions using large numbers of experimental samples. In many actual engineering problems, the probability distributions of some parameters can be established due to sufficient samples available, whereas for some parameters, due to the lack or poor quality of samples, only their variation intervals can be obtained, or their probability distribution types can be determined based on the existing data while some of the distribution parameters such as mean and standard deviation can only be given interval estimations. This thus will constitute an important type of probability-interval hybrid uncertain problem, in which the aleatory and epistemic uncertainties both exist. The probability-interval hybrid uncertainty analysis provides an important mean for reliability analysis and design of many complex structures, and has become one of the research focuses in the field of structural uncertainty analysis over the past decades. This paper reviews the four main research directions in this area, i.e., uncertainty modeling, uncertainty propagation analysis, structural reliability analysis, and reliability-based design optimization. It summarizes the main scientific problems, technical difficulties, and current research status of each direction. Based on the review, this paper also provides an outlook for future research in probability-interval hybrid uncertainty analysis.

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Acknowledgements

This work is supported by the National Science Foundation for Distinguished Young Scholars of China (Grant No. 51725502), the Major Program of National Natural Science Foundation of China (Grant No. 51490662), and the National Key Research and Development Project of China (Grant No. 2016YFD0701105).

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Authors and Affiliations

  1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha City, People’s Republic of China, 410082

    C. Jiang, J. Zheng & X. Han

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  1. C. Jiang
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  2. J. Zheng
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  3. X. Han
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Correspondence to C. Jiang.

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Jiang, C., Zheng, J. & Han, X. Probability-interval hybrid uncertainty analysis for structures with both aleatory and epistemic uncertainties: a review. Struct Multidisc Optim 57, 2485–2502 (2018). https://doi.org/10.1007/s00158-017-1864-4

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  • DOI: https://doi.org/10.1007/s00158-017-1864-4

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