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Assessment of Reliability and Safety Indexes of Complex Systems Using a Modified Method of Linearization by Single Tests

机译:使用改进的线性化方法通过单项测试评估复杂系统的可靠性和安全性指标

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Limiting states of structure elements, i.e. design components and assemblies, whose failure leads to the design fault and - in most cases - the loads, under whose effect the components are operated, represent random values. Thus, the design failure at such loads is characterized by some probability q, while its reliability is P=1-q. The assessments of these values depend on a priori information and representivity of limiting state samples (Q) and operation load (F) through which the selection of distributions and their parameters evaluation are performed. In practice the unique designs are elaborated through carrying out a small number of tests; in this connection the reliability and safety assessment will change from sample to sample, i.e. it is a random value. As any other random value it can be characterized by mathematical expectation M[P] and mean square deviation σ_p , P and S_P being their assessments correspondingly. Determination of parameters assessments of elements and equipment reliability distribution at a large number of tests was considered by Belyaev Yu.K. (see, for example,). The proposed in the article method based on the usage of information on safety factor coefficients and parameters of limiting load distribution makes it possible to evaluate reliability of highly - reliable structures at executing a small number of tests.
机译:结构元件的极限状态,即设计零件和组件,其故障会导致设计故障,并且-在大多数情况下-载荷在其作用下运行,这些零件代表随机值。因此,在这种负载下的设计失败以某个概率q为特征,而其可靠性为P = 1-q。这些值的评估取决于先验信息和极限状态样本(Q)和操作负荷(F)的表示性,通过这些信息可以进行分布的选择及其参数评估。在实践中,通过进行少量测试来阐述独特的设计。在这方面,可靠性和安全性评估将随样本的不同而变化,即它是一个随机值。与任何其他随机值一样,它可以通过数学期望M [P]和均方差σ_p来表征,P和S_P分别是它们的评估值。 Belyaev Yu.K.考虑了在大量测试中确定元素评估参数和设备可靠性分布的方法。 (例如,参见)。文章中提出的方法基于安全系数系数和极限载荷分布参数的信息的使用,使得可以在执行少量测试时评估高度可靠的结构的可靠性。

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