Structure reliability analysis of spiral bevel gear based on hybrid uncertainties

被引:0
|
作者
Qiu J.-W. [1 ]
Luo H.-S. [1 ]
机构
[1] China Ordnance Industrial Standardization Research Institute, Beijing
关键词
Harmonic reducer; Hybrid reliability analysis; Second-order reliability method; Spiral bevel gear; Systems engineering;
D O I
10.13229/j.cnki.jdxbgxb20211134
中图分类号
学科分类号
摘要
There is often a mix of random and interval parameters in the design parameters and boundary conditions of spiral bevel gears. Because the measurement space and properties of the two types of uncertain variables are different, the traditional reliability modeling and analysis methods based on probability theory will no longer be applicable. Therefore, a second-order reliability analysis method for hybrid structural analysis with random and interval variables was presented. The limit state function is approximated at the most probable point(MPP) by using the second-order Taylor series expansion method. On this basis, the polar coordinates are introduced and the n-dimensional limit state function is approximately transformed into a new polar coordinate two-dimensional function. By using the gradient vector of the function instead of the failure domain centroid vector, the polar probability density functions of the random variables and the interval variables are derived in polar space. Based on the second-order moment reliability analysis method, the failure probability interval is deduced by the integration method. Finally, the validity of the proposed method is verified by a structural reliability analysis case for spiral bevel gears of a weapon's comprehensive transmission. © 2022, Jilin University Press. All right reserved.
引用
收藏
页码:466 / 473
页数:7
相关论文
共 17 条
  • [1] Yu Fan-hua, Liu Ren-yun, Zhang Yi-min, Et al., Swarm intelligence algorithm of dynamic reliability-based robust optimization design of mechanic components, Journal of Jilin University(Engineering and Technology Edition), 47, 6, pp. 1093-1098, (2017)
  • [2] Li Guo-fa, Chen Ze-quan, He Jia-long, New adaptive sampling strategy for structural reliability analysis, Journal of Jilin University(Engineering and Technology Edition), 51, 6, pp. 1975-1981, (2021)
  • [3] Yang X F, Liu Y S, Zhang Y S, Et al., Hybrid reliability analysis with both random and probability-box variables, Acta Mechanica, 226, 5, pp. 1341-1357, (2015)
  • [4] Hurtado J E, Alvarez D A., The encounter of interval and probabilistic approaches to structural reliability at the design point, Computer Methods in Applied Mechanics and Engineering, 225, pp. 74-94, (2012)
  • [5] Du X P, Sudjianto A, Huang B Q., Reliability-based design with the mixture of random and interval variables, Journal of Mechanical Design, 127, 6, pp. 1068-1076, (2005)
  • [6] Guo J, Du X P., Reliability sensitivity analysis with random and interval variables, International Journal for Numerical Methods in Engineering, 78, 13, pp. 1585-1617, (2010)
  • [7] Zhang J H, Xiao M, Gao L., A new method for reliability analysis of structures with mixed random and convex variables, Applied Mathematical Modelling, 70, pp. 206-220, (2019)
  • [8] Zhan K, Luo Y., Reliability-based structural optimization with probability and convex set hybrid models, Structural & Multidisciplinary Optimization, 42, 1, pp. 89-102, (2010)
  • [9] Yoo D, Lee I., Sampling-based approach for design optimization in the presence of interval variables, Structural & Multidisciplinary Optimization, 49, 2, pp. 253-266, (2014)
  • [10] Xie S J, Pan B S, Du X P., A single-loop optimization method for reliability analysis with second order uncertainty, Engineering Optimization, 47, 8, pp. 1125-1139, (2015)