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http://dx.doi.org/10.1016/j.net.2021.09.026

Variation of reliability-based seismic analysis of an electrical cabinet in different NPP location for Korean Peninsula  

Nahar, Tahmina Tasnim (Department of Civil Engineering, Pabna University of Science and Technology)
Rahman, Md Motiur (Department of Civil and Environmental Engineering, Kunsan National University)
Kim, Dookie (Department of Civil and Environmental Engineering, Kongju National University)
Publication Information
Nuclear Engineering and Technology / v.54, no.3, 2022 , pp. 926-939 More about this Journal
Abstract
The area of this study will cover the location-wise seismic response variation of an electrical cabinet in nuclear power point (NPP) based on classical reliability analysis. The location-based seismic ground motion (GM) selection is carried out with the help of probabilistic seismic hazard analysis using PSHRisktool, where the variation of reliability analysis can be understood from the relation between the reliability index and intensity measure. Two different approaches such as the first-order second moment method (FOSM) and Monte Carlo Simulation (MCS) are helped to evaluate and compare the reliability assessment of the cabinet. The cabinet is modeled with material uncertainty utilizing Steel01 as the material model and the fiber section modeling approach is considered to characterize the section's nonlinear reaction behavior. To verify the modal frequency, this study compares the FEM result with recorded data using Least-Squares Complex Exponential (LSCE) method from the impact hammer test. In spite of a few investigations, the main novelty of this study is to introduce the reader to check and compare the seismic reliability assessment variation in different seismic locations and for different earthquake levels. Alongside, the betterment can be found by comparing the result between two considered reliability estimation methods.
Keywords
Classical reliability analysis; First-order second moment method (FOSM); Monte Carlo simulation (MCS); PSHA; Reliability index of the cabinet; Earthquake level;
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