Parameters Identification of Short Hanger Based on Adaptive Genetic Algorithm

被引:0
|
作者
Yuan, Pei [1 ]
机构
[1] China Merchants Chongqing Commun Res & Design Ins, Chongqing, Peoples R China
来源
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON BIOLOGICAL SCIENCES AND TECHNOLOGY | 2016年
关键词
D O I
暂无
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The hanger tension is crucial in arch bridges, and the fundamental frequency of short hangers is significantly affected by the flexural rigidity. In order to measure the hanger tension considering the flexural rigidity, the Additional Mass Method (AMM) is applied. The tension and flexural rigidity can be calculated by the measured frequencies without and with the additional mass. The difficult inverse calculation among the frequency, tension and stiffness is solved by GA. Using this method to identify the hanger tension and flexural rigidity simultaneous is proved to be feasible through the numerical simulation and field measurement, it is a successful application in civil engineering for computational biology.
引用
收藏
页码:131 / 135
页数:5
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