Further results on orthogonal arrays for the estimation of global sensitivity indices based on alias matrix

Chen, Xueping; Lin, Jin-Guan; Wang, Xiaodi; Huang, Xing-Fang

doi:10.1007/s10260-014-0290-7

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…When many factors are considered to solve the sensitivity model, traditional Sobol' solution approach is very computationally intensive and unstable. [40][41][42] In addition, due to various factors and their obvious coupling effects, the reliability problem of the actual engineering equipment structure is more complicated.…”

Section: Revised Sensitivity Modelmentioning

confidence: 99%

Influence of coupling factors on structural reliability based on polynomial response surface optimization model

Jiang

Wang

Chen

et al. 2023

Advances in Mechanical Engineering

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The sensitivity analysis model is frequently used to express the influence of conditional elements on structural reliability. However, the traditional sensitivity analysis model is limited to a few influencing factors, and has a small scope of application. In this paper, a modified sensitivity model is proposed by combining the optimal polynomial response surface function with the Sobol sensitivity algorithm. And the sensitivity calculation approach was combined with coupling factor test design, range verification, multi-body dynamics analysis and structural statics analysis, which enables to achieve the quantitative sensitivity value of the influence of conditional factors on structural reliability. Finally, a typical harvester structure is selected as a case, to verify the evaluation accuracy and effectiveness of the revised model. The results show that the sensitivity of threshing drum speed has the greatest influence, while the sensitivity of granary load has the least influence. The average quantitative prediction accuracy of revised approach is up to 97.36%. The revised model can accurately evaluate the sensitivity value of coupled influencing factors for industrial equipment.

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Section: Revised Sensitivity Modelmentioning

confidence: 99%

Influence of coupling factors on structural reliability based on polynomial response surface optimization model

Jiang

Wang

Chen

et al. 2023

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…When multiple parameters are considered to solve the sensitivity model, the traditional Sobol method based on the response surface function requires high computational cost [53] , [54] , [55] . Moreover, the reliability problem of the actual engineering equipment structure is more complicated caused by lots of parameters and their coupling effects.…”

Section: Sensitivity Model Based On Response Surface Function-kriging...mentioning

confidence: 99%

Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model

Zhu

Qiu

Chen

et al. 2022

Heliyon

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Matrix Image Method for Ranking Nonregular Fractional Factorial Designs

Chen

Lin

Xuan-qing

et al. 2018

Acta Math. Appl. Sin. Engl. Ser.

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Further results on orthogonal arrays for the estimation of global sensitivity indices based on alias matrix

Cited by 3 publications

References 18 publications

Influence of coupling factors on structural reliability based on polynomial response surface optimization model

Influence of coupling factors on structural reliability based on polynomial response surface optimization model

Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model

Matrix Image Method for Ranking Nonregular Fractional Factorial Designs

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