| 病桥成因的预应力损失研究 |
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| 引用本文： | 王敏,沈成武,闻骥骏.病桥成因的预应力损失研究[J].武汉理工大学学报(交通科学与工程版),2006,30(1):103-105. |
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| 作者姓名： | 王敏 沈成武 闻骥骏 |
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| 作者单位： | 1. 武汉港湾工程设计研究院,武汉,430071
2. 武汉理工大学交通学院,武汉,430063 |
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| 摘 要： | 预应力损失是桥面下陷的重要原因之一．为了对营运若干年后的桥梁的安全隐患的监测与防范，文中将遗传算法用于大跨度混凝土桥梁的预应力损失的识别，建立损失的数学模型，根据实测挠度值与理论计算的差值，用遗传算法识别损失模型的参数，确定有关各截面的损失值．分析表明该方法是有效的，与实际的应力结果较吻合．
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| 关 键 词： | 大跨度桥梁 预应力损失 遗传算法 参数识别 |
| 收稿时间： | 2005-10-18 |
| 修稿时间： | 2005年10月18 |
Research On Pre-stress Loss of the Sick Bridge |
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| Wang Min,Shen Chengwu,Wen Jijun.Research On Pre-stress Loss of the Sick Bridge[J].journal of wuhan university of technology(transportation science&engineering),2006,30(1):103-105. |
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| Authors: | Wang Min Shen Chengwu Wen Jijun |
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| Abstract: | In this paper a genetic algorithm is applied in identifying the pre-stress loss of the long span bridge. A model is built to assess the pre-stress loss. Based on the differences between the academic account value and the survey of the bridge flexibility, the model parameters are identified by the genetic algorithm, and the pre-stress loss values of different sections are given. It is demonstrated that the genetic algorithm is efficient and the theoretical results fit well with the stress survey. |
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| Keywords: | long span bridge pre stress loss genetic algorithm parameter identification |
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