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在机械强度可靠性设计中,常用材料的机械性能的概率分布数据,例如在静强度的可靠性设计中用强度极限σ_b、屈服极限σ_s、延伸率δ及硬度H_B,在疲劳强度的可靠性设计中用疲劳极限σ_(-1)等。假设材料的机械性能数据是按正态分布的,则每个性能参数都要知道其均值及标准差。例如强度极限的均值以σ_b表示,其标准差以S_b表示等。目前,材料机械性能参数的统计特性数据很少,成为开展机械强度可靠性设计中存在的问题。本文主要根据某厂按GB 228—63的有关规定进行试验取得的数据,尽量采用大容量的子样。为使数据更有代表
In the mechanical strength reliability design, the probability distribution data of the mechanical properties of the commonly used materials, for example, in the reliability design of static strength, with the strength limit σ_b, yield limit σ_s, elongation δ and hardness H_B, the reliability of the fatigue strength design In the fatigue limit σ _ (- 1) and so on. Assuming that the mechanical properties of the material are normally distributed, the average and standard deviation of each of the performance parameters should be known. For example, the mean value of the intensity limit is represented by σ_b, and the standard deviation thereof is represented by S_b. At present, the statistical data of the mechanical properties of the material is few, which becomes a problem in the reliability design of the mechanical strength. This article mainly according to a factory according to the relevant provisions of GB 228-63 test data obtained, try to use high-capacity subsamples. To make the data more representative