| 遗传算法和人工神经网络在斜拉桥可靠度分析中的应用 |
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| 引用本文： | 张建仁,刘扬.遗传算法和人工神经网络在斜拉桥可靠度分析中的应用[J].土木工程学报,2001,34(1):7-13. |
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| 作者姓名： | 张建仁 刘扬 |
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| 作者单位： | 张建仁（清华大学）
刘扬（清华大学） |
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| 基金项目： | 交通部科教司人才基金资助项目 |
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| 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.
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| 关 键 词： | 可靠度分析 遗传算法 人工神经网络 斜拉桥 |
| 文章编号： | 1000-131(2001)01-0007-07 |
| 修稿时间： | 1999年10月22 |
RELIABILITY ANALYSIS OF CABLE-STAYED BRIDGE USING GAS AND ANN |
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| ZHANG Jianren,Liu Yang.RELIABILITY ANALYSIS OF CABLE-STAYED BRIDGE USING GAS AND ANN[J].China Civil Engineering Journal,2001,34(1):7-13. |
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| Authors: | ZHANG Jianren Liu Yang |
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| 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. |
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| Keywords: | reliability analysis genetic algorithms artificial neural network cable-stayed bridge |
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