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http://dx.doi.org/10.7735/ksmte.2013.22.3.518

Reliability-Based Structural Integrity Assessment of Wall-Thinned Pipes Using Partial Safety Factor  

Lee, Jae-Bin (Dept. of Mechanical System Design Engineering, Seoul National University of Science and Technology)
Huh, Nam-Su (Dept. of Mechanical System Design Engineering, Seoul National University of Science and Technology)
Park, Chi-Yong (Central Research Institute, Korea Hydro & Nuclear Power Corporation)
Publication Information
Journal of the Korean Society of Manufacturing Technology Engineers / v.22, no.3_1spc, 2013 , pp. 518-524 More about this Journal
Abstract
Recently, probabilistic assessments of nuclear power plant components have generated interest in the nuclear industries, either for the efficient inspection and maintenance of older nuclear plants or for improving the safety and cost-effective design of newly constructed nuclear plants. In the present paper, the partial safety factor (PSF) of wall-thinned nuclear piping is evaluated based on a reliability index method, from which the effect of each statistical variable (assessment parameter) on a certain target probability is evaluated. In order to calculate the PSF of a wall-thinned pipe, a limit state function based on the load and resistance factor design (LRFD) concept is first constructed. As for the reliability assessment method, both the advanced first-order second moment (AFOSM) method and second-order reliability method (SORM) are employed to determine the PSF of each probabilistic variable. The present results can be used for developing maintenance strategies considering the priorities of input variables for structural integrity assessments of wall-thinned piping, and this PSF concept can also be applied to the optimal design of the components of newly constructed plants considering the target reliability levels.
Keywords
Failure probability; Load and resistance factor design; Partial safety factor; Reliability index method; Target reliability; Wall-thinned pipe;
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Times Cited By KSCI : 1  (Citation Analysis)
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