Optimization of the Stability Margin for Nuclear Power Reactor Design Models Using Regression Analyses Techniques

摘要

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”, ?, 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 ? is in good agreement with known typical values. 78.95% of the “Safety Factor”, ?, 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.