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シミュレーション支援信頼性解析×フォールトツリー解析 (FTA)×
分野実験計画法信頼性
系統Process / pipelineProcess / pipeline
提唱年1940s–1980s (Monte Carlo foundations ~1940s; simulation-reliability integration ~1970s–1980s)1981
提唱者Enrico Fermi, John von Neumann, Stanislaw Ulam (Monte Carlo foundations); Freudenthal (structural reliability); Melchers (simulation integration)Vesely et al. (US NRC Fault Tree Handbook)
種類Quantitative probabilistic engineering methodDeductive top-down failure analysis
原典Melchers, R. E., & Beck, A. T. (2018). Structural Reliability Analysis and Prediction (3rd ed.). Wiley. ISBN: 978-1119266075Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission. link ↗
別名SARA, Monte Carlo reliability analysis, simulation-based reliability assessment, virtual reliability testingFTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
関連63
概要Simulation-assisted reliability analysis combines probabilistic reliability theory with computational simulation — most commonly Monte Carlo methods or finite-element models — to estimate the probability that a system, component, or structure will perform its intended function under uncertain operating conditions. Rather than relying solely on closed-form analytical solutions, it propagates uncertainty through high-fidelity numerical models to quantify failure risk across complex, nonlinear, or multi-failure-mode systems.Fault Tree Analysis (FTA) is a top-down, deductive reliability method that begins with an undesired top-level failure event and systematically traces backward through chains of contributing causes using Boolean logic gates (AND, OR). First formalized by Watson at Bell Telephone Laboratories in 1961 and later standardized by Vesely, Goldberg, Roberts, and Haasl in the landmark 1981 NRC Fault Tree Handbook, FTA has become a cornerstone of quantitative risk assessment in nuclear, aerospace, and industrial safety engineering.
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ScholarGate手法を比較: Simulation-assisted reliability analysis · Fault Tree Analysis. 2026-06-15に以下より取得 https://scholargate.app/ja/compare