基于粒子群算法的斜拉桥传感器优化布置-研究

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1、哈尔滨工业大学工学硕士学位论文algorithm,anoptimalsensorplacementisworkedout.Thenwecanextractthemodalparametersofcable-stayedbridgemodel.Finiteelementanalysisresultsandtheexperimentdatashowthatthismethodiseffective.Keywords:particleswarmoptimization,cable-stayedmodelbridge,multi-objectiveoptimization,

2、accelerationsensor,optimalplacement-III-万方数据哈尔滨工业大学工学硕士学位论文目录摘要..........................................................................................................................IABSTRACT............................................................................................

3、....................II第1章绪论...........................................................................................................11.1课题来源...................................................................................................11.2课题研究的背景和意义...............................

4、.............................................11.3传感器优化布置的研究现状.....................................................................21.3.1传感器优化布置准则的研究现状............................................................21.3.2传感器优化布置方法的研究现状........................................................

5、....41.3.3目前研究中仍需改进的方面....................................................................71.4粒子群优化算法的研究现状.....................................................................71.4.1粒子群算法的原理....................................................................................71.4.2粒子群算法的改

6、进..................................................................................101.5本文主要研究内容..................................................................................12第2章监控振型阶数及传感器数量的确定.........................................................132.1引言........................

7、................................................................................132.2滨州黄河公路大桥缩尺模型模态分析....................................................132.2.1实验室缩尺模型简介..............................................................................132.2.1模型建立及模态分析.....................