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| 面向桥梁状态评估的传感器优化配置 | |
| 引用本文： | 覃柏英,林贤坤,张令弥等.面向桥梁状态评估的传感器优化配置[J].振动．测试与诊断,2012,32(3):441-446. |
| 作者姓名： | 覃柏英 林贤坤 张令弥等 |
| 作者单位： | 1. 广西工学院理学院 柳州,545006 2. 广西工学院汽车与交通学院 柳州,545006;南京航空航天大学振动工程研究所,南京,210016 3. 南京航空航天大学振动工程研究所,南京,210016 4. 南京航空航天大学机电学院,南京,210016 |
| 基金项目： | 国家自然科学基金资助项目，广西自然科学基金资助项目，江苏省交通科学研究计划资助项目，广西教育厅科研资助项目，广西工学院博士科研基金资助项目 |
| 摘 要： | 以模态置信度矩阵(modal assurance criterion简称MAC)、Fisher信息阵和振型误差为优化准则,采用整数编码遗传算法,探讨了模态挠度法应用中的有限元模型修正和模态挠度计算的传感器优化配置问题。与常用的平分法、有效独立法及基于QR分解的逐步累积法比较,优化配置结果表明,整数编码遗传算法优于上述3种方法。 |
| 关 键 词： | 传感器 优化配置 遗传算法 组合优化问题 整数编码 状态评估 |
Optimal Sensor Placement for Bridge Condition Assessment |
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| Qin Boying,Lin Xiankun,Zhang Lingmi,Guo Qintao.Optimal Sensor Placement for Bridge Condition Assessment[J].Journal of Vibration,Measurement & Diagnosis,2012,32(3):441-446. | |
| Authors: | Qin Boying Lin Xiankun Zhang Lingmi Guo Qintao |
| Affiliation: | 1.College of Science,Guangxi Institute of Technology Liuzhou,545006,China)(2.Automobile & Transportation Engineering Institute,Guangxi Institute of Technology Liuzhou,545006,China)(3.Institute of Vibration Engineering,Nanjing University of Aeronautics and Astronautics Nanjing,210016,China)(4.College of Mechanical and Electrical Engineering,Nanjing University ofAeronautics and Astronautics Nanjing,210016,China) |
| Abstract: | Taking MAC matrix and Fisher information matrix,and shape error as optimization criteria respectively,the integer-coded genetic algorithm is applied to optimal sensor placement.Compared with three existing optimal sensor placement method,which are divide equally method,effective independence method,and cumulative method based on QR decomposition,The results indicate that the integer-coded genetic algorithm is better than three existing method. |
| Keywords: | sensor optimal placement genetic algorithm combinatorial optimization integer coding condition assessment |
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