Mathematical Formulation and Analytic Solutions for Uncertainty Analysis in Probabilistic Safety Assessment of Nuclear Power Plants

• Published in: Energies (Basel) Vol. 14; no. 4; p. 929
• Main Authors: Song, Gyun Seob, Kim, Man Cheol
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.02.2021
• Subjects: analytic solutions; fault tree analysis; Monte Carlo simulation; probabilistic safety assessment; uncertainty analysis

Monte Carlo simulations are widely used for uncertainty analysis in the probabilistic safety assessment of nuclear power plants. Despite many advantages, such as its general applicability, a Monte Carlo simulation has inherent limitations as a simulation-based approach. This study provides a mathema...