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

被引：0
|
作者：
Xiong F. [1 ]
Li Z. [1 ]
Liu Y. [2 ]
Xiahou T. [2 ]
机构：
[1] School of Aerospace Engineering, Beijing Institute of Technology, Beijing
[2] School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu
来源：
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2023年 / 44卷 / 22期
基金：
中国国家自然科学基金;
关键词：
aleatory uncertainty; epis⁃ temic uncertainty; numerical simulation; parameter uncertainty; uncertainty characterization;
D O I：
10.7527/S1000-6893.2023.28611
中图分类号：
学科分类号：
摘要：
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 characteriza⁃ tion methods of parameter uncertainty according to the two categories of probabilistic and non-probabilistic character⁃ ization methods are summarized. The basic ideas，main principles，application scope，and development and applica⁃ tion of various characterization methods in engineering practice are introduced. The basic ideas of uncertainty propa⁃ gation based on uncertainty characterization results are also briefly explained. Finally，the research direction of uncer⁃ tainty characterization is prospected. © 2023 AAAS Press of Chinese Society of Aeronautics and Astronautics. All rights reserved.
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  • [11] LABBE S G, GILBERT M G, KEHOE M W., Possible deficiencies in predicting transonic aerodynamics on the X-43A：NASA/TM-2009-215711NESC-RP-04-02/03-002-E［R］, (2009)
  • [12] GAO Z H，, HUANG J T，, Et al., Robust design of NLF airfoils［J］, Chinese Journal of Aeronautics, 26, 2, pp. 309-318, (2013)
  • [13] ZHANG W W, SONG S F., Robust aerodynamic shape design based on an adaptive stochastic optimization framework［J］, Structural and Multidisciplinary Optimization, 57, 2, pp. 639-651, (2018)
  • [14] EL MAANI R，, MAKHLOUFI A，, RADI B，, Et al., Reliability-based design optimization with frequency constraints using a new safest point approach［J］, Engineering Optimization, 50, 10, pp. 1715-1732, (2018)
  • [15] CHEN Z Z, LI X K, Et al., A multiple-design-point approach for reliability-based design optimization ［J］, Engineering Optimization, 51, 5, pp. 875-895, (2019)
  • [16] XIAO H，, CINNELLA P., Quantification of model uncertainty in RANS simulations：A review［J］, Progress in Aerospace Sciences, 108, pp. 1-31, (2019)
  • [17] PARRY G W., The characterization of uncertainty in probabilistic risk assessments of complex systems［J］, Reliability Engineering & System Safety, 54, 2-3, pp. 119-126, (1996)
  • [18] CHEN X, WANG G, YE Z Y，, Et al., A review of uncertainty quantification methods for Computational Fluid Dynamics［J］, Acta Aerodynamica Sinica, 39, 4, pp. 1-13, (2021)
  • [19] LI W., Research on credibility of computing model based on uncertainty analysis and model verification, (2015)
  • [20] CHEN R T，, ZHANG C, WANG S P，, Et al., Reliability estimation of mechanical seals based on bivariate dependence analysis and considering model uncertainty［J］, Chinese Journal of Aeronautics, 34, 5, pp. 554-572, (2021)
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