大数据条件下结构区间可靠性与概率可靠性比较

对于结构服役期间收集到的结构相关大数据，首先对数据进行整理与分析，根据数据的特征进行分类；然后利用应力-强度干涉理论建立结构大数据条件下区间可靠性计算模型与随机可靠性计算模型，按大数据所分类型，分别计算每一类型大数据中结构区间非概率可靠度指标与随机概率可靠度，在区间非概率可靠度指标与随机概率可靠度计算结果中，最小区间可靠性指标是结构最终的区间可靠性指标，最小随机可靠度是结构最终的随机可靠度．最后，利用两个算例说明了大数据条件下结构区间可靠性计算方法与概率可靠性计算方法的优点与缺点．

Comparison Between the Structural Interval Reliability and Probabilistic Reliability under the Big Data Condition

For the collected big data about the structure during the period of structure. Firstly, the big data would be sorted and analyzed, then the big data would be classified according to the characteristics of every data. Secondly, the interval reliability calculation model and random reliability calculation model under the structural big data condition are established by using the stress-strength interference theory. The interval reliability index was computed by using interval reliability calculation model under every type of the big data, the random reliability was computed by using the the random reliability calculation model under every type of the big data. The smallest reliability index would be known as the structural interval reliability index, the smallest reliability would be known as the structural random reliability. Finally, the strong points and weak points of the interval reliability computing method and the probabilistic reliability computing method are shown by using two examples.