方法对比
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| 基于仿真的可靠性分析× | 蒙特卡洛模拟× | |
|---|---|---|
| 领域≠ | 实验设计 | 决策 |
| 方法族≠ | Process / pipeline | MCDM |
| 起源年份≠ | 1940s–1980s (Monte Carlo foundations ~1940s; simulation-reliability integration ~1970s–1980s) | 1949 |
| 提出者≠ | Enrico Fermi, John von Neumann, Stanislaw Ulam (Monte Carlo foundations); Freudenthal (structural reliability); Melchers (simulation integration) | Metropolis, N., Ulam, S. |
| 类型≠ | Quantitative probabilistic engineering method | Robustness wrapper — Monte Carlo uncertainty propagation |
| 开创性文献≠ | Melchers, R. E., & Beck, A. T. (2018). Structural Reliability Analysis and Prediction (3rd ed.). Wiley. ISBN: 978-1119266075 | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| 别名≠ | SARA, Monte Carlo reliability analysis, simulation-based reliability assessment, virtual reliability testing | — |
| 相关≠ | 6 | 0 |
| 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. | MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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