Analysis Approach for Influencing Factors of Structural Reliability Based on Response Surface Corrected Sensitivity Model

doi:10.3901/JME.2022.22.160

Abstract

Abstract: In view of the complexity and diversity of structural reliability influencing factors under actual working conditions, an analysis approach for structural reliability influencing factors based on response surface corrected sensitivity model is proposed.Firstly, a response surface corrected sensitivity model is derived by fusion of the optimal polynomial response surface function and Sobol’s sensitivity algorithm. On this basis, combined with the experimental design and range verification of coupling factors,multi-body dynamics analysis and structural statics analysis, a sensitivity quantitative analysis method of influencing factors of structural reliability is established. Finally, a typical harvester structure is taken as an example to study the proposed approach. The results show that the speed of threshing drum has the greatest influence on the sensitivity of structure reliability, and the influence of granary load is the smallest ones. Also the average prediction accuracy of proposed approach is 97.36%. The approach proposed in this paper can realize the accurate sensitivity analysis under the premise of multiple coupling factors, which further provides a way for structural reliability assessment.

Key words: multiple influencing factors, sensitivity model, response surface modification, reliability, coupling experimental design

CLC Number:

S224

ZHU Lin, WANG Peng, JIA Min-ping, XU Fei-yun. Analysis Approach for Influencing Factors of Structural Reliability Based on Response Surface Corrected Sensitivity Model[J]. Journal of Mechanical Engineering, 2022, 58(22): 160-167.

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