不确定结构的区间可靠性优化设计

对不确定结构的区间可靠性进行了研究，建立了基于区间可靠性的优化设计模型.采用结合嵌套遗传算法和径向基函数神经网络的模型，进行区间的直接优化，解决了基于区间可靠性的优化设计求解问题，避免了间接模型的复杂转换过程.充分考虑了实际工程中设计向量存在扰动的情况，提出了该情况下目标函数波动的约束，使目标函数和约束函数在扰动下依然满足可靠性要求.通过数值算例验证了模型的有效性和优越性.将所提出的模型用于具有区间不确定参数的行车平板优化，结果表明了所提方法的可行性和工程有效性.

Optimal Design of Interval Reliability for Uncertain Structures

The interval reliability for uncertain structures was studied and an optimal design model based on interval reliability was established. By using the model of nested genetic algorithm and radial basis function neural network， the direct optimization of the interval was carried out， which solves the problem of the optimal design based on the interval reliability and avoids the complicated transformation process of the indirect model. The disturbance of the design vector in actual engineering was fully considered， and the constraint of the objective function fluctuation in this case was proposed， so that the objective function and the constraint function still meet the reliability requirements under disturbance. The numerical examples verified the validity and superiority of the model. The proposed model was applied to the optimization of driving slabs with interval uncertain parameters， whose results verified its feasibility and engineering effectiveness.