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Home  >  Volume 22 (2012)

Optimization of the Stability Margin for Nuclear Power Reactor Design Models Using Regression Analyses Techniques by Oludare A.I., 2Agu M.N. and 3Akusu P.O. Volume 22 (November, 2012), pp 327 – 334
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Abstract

Multiple regression analysis is applied on twenty-four (24) typical nuclear reactor design models, each having sixteen (16) major design input parameters. An empirical expression for “Safety Factor”, Ỳ, as a function of the sixteen major design input parameters is obtained. Further statistical analyses suggest that this empirical expression is acceptable as the calculated values of Ỳ are in good agreement with known typical values. 78.95% of the “Safety Factor”, Ỳ, is observed from the sixteen major design input parameters at significant level of 5%. This shows that the regression analyses techniques may be applied as an effective tool for optimization of the stability margin in nuclear power reactor design models. 

Keywords: Multiple regression analysis, twenty-four (24) typical nuclear reactor design models, sixteen (16) major design input parameters, safety factor, Ỳ, optimization, stability margin in nuclear power reactor design models.

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