2020
DOI: 10.1108/mmms-08-2020-0198
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Analysis and optimization of the strain concentration factor in countersunk rivet holes via finite element and response surface methods

Abstract: PurposeThe purpose of this paper is to investigate the strain concentration factor in a central countersunk hole riveted in rectangular plates under uniaxial tension using finite element and response surface methods.Design/methodology/approachIn this work, ANSYS software was elected to create the finite element model of the present structure, execute the analysis and generate strain concentration factor (,) data. Response surface method was implemented to formulate a second order equation to precisely compute … Show more

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“…The complex correlation coefficient R 2 of the model is 0.9951, the corrected correlation coefficient R adj 2 is 0.9863, and the coefficient of variation (CV) is 1.08% < 10%, indicating that the selected model has high fitting accuracy and strong reliability. 20,21 The P-values of independent variables A, B, and C are less than 0.05. Independent variables A, B, and C significantly impact the corresponding value R1, with a significance order of A > B > C. The significant order of interaction between factors is AC > AB > BC.…”
Section: Significance Testmentioning
confidence: 99%
“…The complex correlation coefficient R 2 of the model is 0.9951, the corrected correlation coefficient R adj 2 is 0.9863, and the coefficient of variation (CV) is 1.08% < 10%, indicating that the selected model has high fitting accuracy and strong reliability. 20,21 The P-values of independent variables A, B, and C are less than 0.05. Independent variables A, B, and C significantly impact the corresponding value R1, with a significance order of A > B > C. The significant order of interaction between factors is AC > AB > BC.…”
Section: Significance Testmentioning
confidence: 99%