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大跨度桥梁预应力损失的遗传算法识别
引用本文:沈成武,闻骥骏,黄志刚,张开银,向木生. 大跨度桥梁预应力损失的遗传算法识别[J]. 武汉理工大学学报, 2002, 24(1): 62-65
作者姓名:沈成武  闻骥骏  黄志刚  张开银  向木生
作者单位:1. 武汉理工大学交通学院结构工程系,武汉,430063
2. 武汉理工大学,武汉,430063
3. 湖北省路桥公司
基金项目:国家自然科学基金 (19772 0 38),湖北省交通厅科技项目资助
摘    要:将遗传算法用于大跨度混凝土桥梁的预应附加损失的识别。建立附加损失的数学模型,根据施工时的预应力张拉后桥面实测标高与设计值的差异,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。

关 键 词:大跨度桥梁 预应力损失 遗传算法 参数识别
文章编号:1671-4431(2002)01-0062-04
修稿时间:2001-08-27

Genetic Algorithm in Identifying Pre-stress Loss of the Long Span Bridge
Sheng Chengwu Wen Jijun Huang Zhigang Zhang Kaiyin Xiang Musheng School of Transportation,WUT,Wuhan ,China.. Genetic Algorithm in Identifying Pre-stress Loss of the Long Span Bridge[J]. Journal of Wuhan University of Technology, 2002, 24(1): 62-65
Authors:Sheng Chengwu Wen Jijun Huang Zhigang Zhang Kaiyin Xiang Musheng School of Transportation  WUT  Wuhan   China.
Affiliation:Sheng Chengwu Wen Jijun Huang Zhigang Zhang Kaiyin Xiang Musheng School of Transportation,WUT,Wuhan 430063,China.
Abstract:A genetic algorithm is applied in identifying the pre stress loss of the long span bridge. A model with some parameters is made to assess the pre stress loss. Based on the differences between the design value and the survey of the bridge deck elevation in constructing the pre stressed long span bridge, 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.
Keywords:long span bridge  pre stress loss  genetic algorithm  parameter identification
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