论文部分内容阅读
为了有效处理试验数据欠缺情况下结构可靠性问题,提出了一种新的结构非概率可靠性分析方法.该方法考虑了结构非概率可靠性计算中非线性系统区间运算带来的不确定性,利用泛灰数代替参数不确定区间变量参与可靠性运算,成功克服了区间运算不确定对结构可靠性结果的影响.通过三个数值算例表明,当存在区间运算不确定时,文中方法得到结构非概率可靠度要小于基于区间的非概率可靠性模型得到的结果,这是由于后者未考虑区间运算的不确定所致.在缺少试验数据的情况下,文中所提方法可以得到较保守的结构可靠性结果,能够更加客观、真实地反映结构的实际安全状况,更加适于实际工程应用.
In order to effectively deal with the problem of structural reliability in the absence of experimental data, a new non-probabilistic reliability analysis method of structure is proposed, which takes into account the uncertainties brought by the interval operation of nonlinear systems in the calculation of non-probabilistic reliability of structures, The use of pan-gray numbers instead of parameter uncertain interval variables to participate in reliability calculation successfully overcomes the influence of uncertainty of interval operation on the reliability of structural reliability.Through three numerical examples, it is shown that when the existence of interval operation is uncertain, The non-probabilistic reliability is less than the result obtained by the interval-based non-probabilistic reliability model because the latter does not consider the uncertainty of the interval operation. In the absence of experimental data, the proposed method can be more conservative The results of structural reliability can reflect the actual safety status of structures more objectively and truthfully, and are more suitable for practical engineering applications.