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A review of characterization methods for parameter uncertainty in engineering design based on numerical simulation

  • Fenfen XIONG ,
  • Zexian LI ,
  • Yu LIU ,
  • Tangfan XIAHOU
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  • 1.School of Aerospace Engineering,Beijing Institute of Technology,Beijing 100081,China
    2.School of Mechanical and Electrical Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China
E-mail: fenfenx@bit.edu.cn

Received date: 2023-02-24

  Revised date: 2023-03-22

  Accepted date: 2023-04-21

  Online published: 2023-04-21

Supported by

National Natural Science Foundation of China(52175214);The Basic Research Program(514010103-302)

Abstract

Numerical simulation technology is widely used in modern engineering design. However, uncertainties are ubiquitous in simulation models: geometric parameters, working loads, environmental conditions, etc., which directly affect the credibility of numerical simulation results. Especially for equipment with strict requirements on performance and reliability, ignoring these uncertainties will cause potential risks. Therefore, it is of great significance to carry out uncertainty quantification in engineering design based on numerical simulation. Uncertainty characterization is not only a prerequisite for accurate uncertainty quantification and optimal design but also an important support for engineering refinement design. This paper elucidates the uncertainty factors in engineering design based on numerical simulation. Considering the manifestation and available information of the uncertainty factors, the current mainstream characterization methods of parameter uncertainty according to the two categories of probabilistic and non-probabilistic characterization methods are summarized. The basic ideas, main principles, application scope, and development and application of various characterization methods in engineering practice are introduced. The basic ideas of uncertainty propagation based on uncertainty characterization results are also briefly explained. Finally, the research direction of uncertainty characterization is prospected.

Cite this article

Fenfen XIONG , Zexian LI , Yu LIU , Tangfan XIAHOU . A review of characterization methods for parameter uncertainty in engineering design based on numerical simulation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(22) : 28611 -028611 . DOI: 10.7527/S1000-6893.2023.28611

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