[1]刘宇,毕丹,李兆霞.大跨斜拉桥基于遗传算法的传感器优化布置方法[J].东南大学学报(自然科学版),2009,39(4):825-829.[doi:10.3969/j.issn.1001-0505.2009.04.034]
 Liu Yu,Bi Dan,Li Zhaoxia.Optimal placement of accelerometers in long cable-stayed bridges based on genetic algorithm[J].Journal of Southeast University (Natural Science Edition),2009,39(4):825-829.[doi:10.3969/j.issn.1001-0505.2009.04.034]
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大跨斜拉桥基于遗传算法的传感器优化布置方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
39
期数:
2009年第4期
页码:
825-829
栏目:
土木工程
出版日期:
2009-07-20

文章信息/Info

Title:
Optimal placement of accelerometers in long cable-stayed bridges based on genetic algorithm
作者:
刘宇 毕丹 李兆霞
东南大学土木工程学院, 南京 210096
Author(s):
Liu Yu Bi Dan Li Zhaoxia
School of Civil Engineering, Southeast University, Nanjing 210096,China
关键词:
遗传算法 加速度传感器 有限元模型 优化布置 斜拉桥
Keywords:
genetic algorithms acceleration sensor finite element model optimized placement cable-stayed bridge
分类号:
TU208.5
DOI:
10.3969/j.issn.1001-0505.2009.04.034
摘要:
以润扬大桥斜拉桥为研究对象,分析了基于遗传算法的加速度传感器优化布置实施的过程,包括传感器布设位置的编码以及控制参数、目标函数和评价指标的选取.探讨了遗传算法目标函数类型、需要监控的振型数量等因素对优化布置方案的影响,提出了Gramian矩阵行列式值、MAC矩阵非对角元均方根、MAC矩阵非对角元最大值、Gramian矩阵元素和以及模态应变能这5种可行的优化布置方案评价指标,分析了多目标函数优化布置方法与单目标函数方法相比的优越性.研究结果表明,Gramian矩阵行列式是较优越的目标函数,并建议采用Gramian矩阵行列式值、MAC矩阵非对角元均方根和MAC矩阵非对角元最大值作为布点方案的评价指标.利用基于环境激励的斜拉桥现场测试数据对以上计算得到的优化布置方案和结论进行了验证.
Abstract:
Optimal placement schemes of accelerometers based on genetic algorithm(GA)were applied to Runyang Cable-stayed Bridge(RYCB), including the coding of accelerometers placement and the selection of control parameter,objective functions and evaluation indexes.Key issues on the functions for optimized objectives, vibration modals to be obtained and feasible evaluation indicators about optimized parameters were studied with GA-based calculations. The results show that multi-objective target functions for optimization are preferable, and it is suggested that the evaluation index such as the Gramian matrix determinant values, off-diagonal elements mean square root of MAC(modal assurance criterion)matrix and maximum off-diagonal elements of MAC matrix are available for evaluating the feasibility of optimized parameters. Finally, the results of accelerometers placement for structural health monitoring system of RYCB obtained from the GA-based sensor placement schemes have been validated through the measured data of modals from the field test on the bridge.

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备注/Memo

备注/Memo:
作者简介: 刘宇(1984—),男,硕士生; 李兆霞(联系人),女,博士,教授,博士生导师,zhxli@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(10672038)、江苏省“六大人才高峰” 资助项目.
引文格式: 刘宇,毕丹,李兆霞.大跨斜拉桥基于遗传算法的传感器优化布置方法[J].东南大学学报:自然科学版,2009,39(4):825-829.[doi:10.3969/j.issn.1001-0505.2009.04.034]
更新日期/Last Update: 2009-07-20