基于振型贡献率和遗传算法的传感器布设研究  

Sensor placement analysis based on modal mass ratio and genetic algorithm

作　　者：金中凡[1] 陈彦江[2] 宋振丰 

机构地区：[1]湖北城市建设职业技术学院,湖北武汉430205 [2]北京工业大学建筑工程学院,北京100022 [3]深圳市政设计研究院有限公司,广东深圳518029

出　　处：《武汉工程大学学报》2010年第12期52-55,共4页Journal of Wuhan Institute of Technology

摘　　要：从定量和定位两方面将振型贡献率及遗传算法应用于传感器的布设研究.在传感器定量之前利用振型贡献率进行了模态阶数的选取,对简单的遗传算法进行了改进,通过传感器数量与适应度函数关系曲线可以确定出最经济的传感器数量,利用MATLAB软件编制了遗传算法及确定传感器数量和位置的程序,提出确定传感器布设的三步法,并用工程实例验证了所提方法的可行性和有效性.Comprehensive researches have been carried on sensor placement in quantitative and location respects based on modal mass ratio and genetic algorithm.Modal numbers have been selected by means of modal mass ration before the number of sensors quantified.The simple genetic algorithm is improved.The most economical number of sensors is obtained by the relationship curve between the number of sensors and fittness.The program of genetic algorithm and the program of sensor selection in number and location are edited by MATLAB software.The curve fitting method is used to select the sensor number.The three step method is proposed to determine the placement of sensors and feasibility and effectiveness of the method have been proved by an engineering example.

关 键 词：传感器布设 振型贡献率 遗传算法 模态阶数 

分 类 号：U446[建筑科学—桥梁与隧道工程]