TY - JOUR
T1 - Approach for the structural reliability analysis by the modified sensitivity model based on response surface function - Kriging model
AU - Zhu, Lin
AU - Qiu, Jianchun
AU - Chen, Min
AU - Jia, Minping
N1 - Funding Information:
Min Chen was supported by National Natural Science Foundation of China [ 51805447 ]. Professor Lin Zhu was supported by Natural Science Foundation of Jiangsu Province [ BK20190911 ]. Professor Lin Zhu was supported by Jiangsu Agricultural Science and Technology Innovation Fund [ CX(20)3060 ]. Professor Lin Zhu was supported by Postdoctoral Research Foundation of China [ 2019M661947 ]. Professor Lin Zhu was supported by the Natural Science Foundation of the Jiangsu Higher Education Institution of China [ 22KJB460010 ].
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/8
Y1 - 2022/8
N2 - The sensitivity analysis model is widely used to describe the impacts of condition parameters on structural reliability. However, the classical sensitivity analysis model is limited to the small number of influence parameters and has no high prediction accuracy. Integrating the response surface function - Kriging model with Sobol sensitivity algorithm, a revised sensitivity model is proposed in this paper. And the quantitative sensitivity analysis for the influence of condition parameters on structural reliability are achieved through combining the revised sensitivity model with the experimental design of coupling parameters, range verification, the multi-body dynamics analysis and the structural statics analysis. The proposed analysis model is mainly applied in large structures with multiple influence parameters. Finally, a typical port crane is adopted to verify the accuracy and effectiveness of the proposed model. The results reveal that among the multiple parameters, the biggest sensitivity influence is the trolley position, while the least one is the lifting speed. The average prediction accuracy of the quantitative structural reliability index for the influencing parameters is up to 95.91%. The revised sensitivity model enables the accurate assessment of structural relativity with plenty of coupling condition parameters.
AB - The sensitivity analysis model is widely used to describe the impacts of condition parameters on structural reliability. However, the classical sensitivity analysis model is limited to the small number of influence parameters and has no high prediction accuracy. Integrating the response surface function - Kriging model with Sobol sensitivity algorithm, a revised sensitivity model is proposed in this paper. And the quantitative sensitivity analysis for the influence of condition parameters on structural reliability are achieved through combining the revised sensitivity model with the experimental design of coupling parameters, range verification, the multi-body dynamics analysis and the structural statics analysis. The proposed analysis model is mainly applied in large structures with multiple influence parameters. Finally, a typical port crane is adopted to verify the accuracy and effectiveness of the proposed model. The results reveal that among the multiple parameters, the biggest sensitivity influence is the trolley position, while the least one is the lifting speed. The average prediction accuracy of the quantitative structural reliability index for the influencing parameters is up to 95.91%. The revised sensitivity model enables the accurate assessment of structural relativity with plenty of coupling condition parameters.
KW - Kriging model
KW - Multiple coupling parameters
KW - Reliability
KW - Sensitivity
KW - Working conditions
UR - http://www.scopus.com/inward/record.url?scp=85135700710&partnerID=8YFLogxK
U2 - 10.1016/j.heliyon.2022.e10046
DO - 10.1016/j.heliyon.2022.e10046
M3 - Article
AN - SCOPUS:85135700710
SN - 2405-8440
VL - 8
JO - Heliyon
JF - Heliyon
IS - 8
M1 - e10046
ER -