【摘要】 将遗传算法（ＧＡｓ）和人工神经网络（ＡＮＮ）这一类智能方法引入斜拉桥可靠度分析领域，分别对 斜拉桥主梁和索塔在多种失效模式下的可靠度进行计算和分析。实例数值结果表明，遗传算法和人工神经网络 为结构可靠度研究提供了新的有效的思路和手段。更多还原

【Abstract】 The genetic algorithms (GAS) and artificial neural network (ANN) are adopted to analyze the reliability of cable--stayed bridges. Gilders and towers of two cable--stayed bridges are analyzed under several failure modes.We consider Several major failure modes that including the in-plane bending and torsion, vibration induced by the wind, and buckling in the direction perpendicular to the plane of bridge. The GAS is used to find the design point that is an optimizing problem. The ANN serves as a limit state function. Numerical results show that the GAS and ANN can give a new idea and new way to study the reliability of the cable-stayed bridges with long span.更多还原