Reliability assessment with small amount of experimental data

机译：用少量实验数据进行可靠性评估

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Reliability assessment is usually based on experimental data. If these data were obtainedrnon small number of samples, the parameters of their distribution can only be estimated. Thisrnuncertainty must be considered in reliability evaluation. The paper presents approximate formulaernfor confidence limits for quantiles of Weibull distribution, tolerance limits for normal distributionrnand for linearly correlated data, formulae for safer application of the interference method (G = R -rnS) for normally distributed load effects S and the resistance R of the structure, and methods for reductionrnof the uncertainty due to small number of input values when the simulation Monte Carlornmethod is used. Also, conditions for the use of small sample sizes are discussed.

机译：可靠性评估通常基于实验数据。如果仅通过少量样本获得这些数据，则只能估计其分布参数。在可靠性评估中必须考虑这种不确定性。本文提出了近似的公式，用于威布尔分布的分位数的置信极限，正态分布的公差极限和线性相关数据，对于正态分布的载荷效应S和抗力R的干扰方法的安全应用公式（G = R -rnS）。当使用模拟Monte Carlorn方法时，由于输入值数量少而导致的不确定性的结构和减少方法。此外，还讨论了使用小样本量的条件。

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来源
《International conference on structural safety and reliability;ICOSSAR'01》|2001年|p.1-8|共8页
会议地点 Newport Beach CA(US);Newport Beach CA(US)
作者
J. Men?ík;
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作者单位

University of Pardubice, Pardubice, Czech Republic;

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会议组织
原文格式 PDF
正文语种 eng
中图分类工程力学;结构稳定理论;
关键词
reliability; failure; quantile; confidence interval; tolerance limits; stress-strength interference method; reliability margin; reliability index; normal distribution; Weibull distribution; regression analysis; probabilistic analysis; Monte Carlo method;

机译：可靠性;故障;分位数;置信区间;公差极限;应力-强度干涉法;可靠性裕度;可靠性指标;正态分布; Weibull分布;回归分析;概率分析;蒙特卡洛方法;

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Reliability assessment with small amount of experimental data

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