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基于仿真的可靠性分析×故障树分析 (FTA)×
领域实验设计可靠性
方法族Process / pipelineProcess / pipeline
起源年份1940s–1980s (Monte Carlo foundations ~1940s; simulation-reliability integration ~1970s–1980s)1981
提出者Enrico Fermi, John von Neumann, Stanislaw Ulam (Monte Carlo foundations); Freudenthal (structural reliability); Melchers (simulation integration)Vesely et al. (US NRC Fault Tree Handbook)
类型Quantitative probabilistic engineering methodDeductive top-down failure analysis
开创性文献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 ↗
别名SARA, Monte Carlo reliability analysis, simulation-based reliability assessment, virtual reliability testingFTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
相关63
摘要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方法对比: Simulation-assisted reliability analysis · Fault Tree Analysis. 于 2026-06-17 检索自 https://scholargate.app/zh/compare