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Determining the Optimal Placement of Sensors on a Concrete Arch Dam Using a Quantum Genetic Algorithm
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نویسنده
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zhu k. ,gu c. ,qiu j. ,liu w. ,fang c. ,li b.
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منبع
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journal of sensors - 2016 - دوره : 2016 - شماره : 0
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چکیده
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Structural modal identification has become increasingly important in health monitoring,fault diagnosis,vibration control,and dynamic analysis of engineering structures in recent years. based on an analysis of traditional optimization algorithms,this paper proposes a novel sensor optimization criterion that combines the effective independence (efi) method with the modal strain energy (mse) method. considering the complex structure and enormous degrees of freedom (dofs) of modern concrete arch dam,a quantum genetic algorithm (qga) is used to optimize the corresponding sensor network on the upstream surface of a dam. finally,this study uses a specific concrete arch dam as an example and determines the optimal sensor placement using the proposed method. by comparing the results with the traditional optimization methods,the proposed method is shown to maximize the spatial intersection angle among the modal vectors of sensor network and can effectively resist ambient perturbations,which will make the identified modal parameters more precise. © 2016 kai zhu et al.
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آدرس
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state key laboratory of hydrology-water resources and hydraulic engineering,hohai university,nanjing,china,national engineering research center of water resources efficient utilization and engineering safety,hohai university,nanjing,china,college of water-conservancy and hydropower,hohai university,nanjing, China, state key laboratory of hydrology-water resources and hydraulic engineering,hohai university,nanjing,china,national engineering research center of water resources efficient utilization and engineering safety,hohai university,nanjing,china,college of water-conservancy and hydropower,hohai university,nanjing, China, state key laboratory of hydrology-water resources and hydraulic engineering,hohai university,nanjing,china,national engineering research center of water resources efficient utilization and engineering safety,hohai university,nanjing,china,college of water-conservancy and hydropower,hohai university,nanjing, China, state key laboratory of hydrology-water resources and hydraulic engineering,hohai university,nanjing,china,national engineering research center of water resources efficient utilization and engineering safety,hohai university,nanjing,china,college of water-conservancy and hydropower,hohai university,nanjing, China, zhejiang institute of hydraulics and estuary,hangzhou, China, engineering safety and disaster prevention department,changjiang river scientific research institute,wuhan, China
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Authors
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