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Renmin Zhujiang
Article . 2021
Data sources: DOAJ
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Sensitivity Analysis of Axial Compressive Bearing Capacity of CFRP Concrete-filled Steel Tube

Authors: WU Jian; ZOU Hong; XU Zhichun; WANG Kunyun;

Sensitivity Analysis of Axial Compressive Bearing Capacity of CFRP Concrete-filled Steel Tube

Abstract

The axial compressive bearing capacity of CFRP concrete-filled steel tube is related to many factors.Due to material manufacturing and use,these parameters are not a definite value.Based on this,this paper carries out the sensitivity analysis of axial compressive bearing capacity of CFRP concrete-filled steel tube with consideration of the uncertainty of parameters,conducts the parametric modeling of CFRP concrete-filled steel tube with Python,ABAQUS scripting language based on nine parameters and parameter sample values,calculates the ultimate bearing capacity by ABAQUS batch processor,analyzes the local and global sensitivity of ultimate bearing capacity,establishes the fitting function relation by the second order response surface aiming at the problem of large amount and long time of global sensitivity calculation,and calculates the global sensitivity index by the extended Fourier amplitude sensitivity test.The results show that:The inner diameter of steel tube has the greatest influence on the ultimate bearing capacity.By comparing the two methods of local sensitivity and global sensitivity,the parameters vary in a small range,and the ideal results can be obtained quickly through local sensitivity analysis.If the difference in variability of each parameter is too big,the results from global sensitivity analysis are more accurate.

Keywords

second order response surface, River, lake, and water-supply engineering (General), TC401-506, sensitivity analysis, extended Fourier amplitude sensitivity test (EFAST), CFRP concrete-filled steel tube, ultimate bearing capacity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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