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Optimal sensor placements for system identification of concrete arch dams

机译:混凝土拱坝系统识别的最佳传感器展示

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This paper investigates the optimal sensor placements and capabilities of this procedure for dynamic characteristics identification of arch dams. For this purpose, a prototype arch dam is constructed in laboratory conditions. Berke arch dam located on the Ceyhan River in city of Osmaniye is one of the highest arch dam constructed in Turkey is selected for field verification. The ambient vibration tests are conducted using initial candidate sensor locations at the beginning of the study. Enhanced Frequency Domain Decomposition and Stochastic Subspace Identification methods are used to extract experimental dynamic characteristics. Then, measurements are repeated according to optimal sensor locations of the dams. These locations are specified using the Effective Independence Method. To determine the optimal sensor locations, the target mode shape matrices which are obtained from ambient vibration tests of the selected dam with a large number of accelerometers are used. The dynamic characteristics obtained from each ambient vibrations tests are compared with each other. It is concluded that the dynamic characteristics obtained from initial measurements and those obtained from a limited number of sensors are compatible with each other. This situation indicates that optimal sensor placements determined by the Effective Independence Method are useful for dynamic characteristics identification of arch dams.
机译:本文调查了该方法的最佳传感器放置和能力,用于拱坝的动态特性识别。为此,在实验室条件下构建了原型拱门大坝。 Berke Arch Dam位于Osmaniye市的Ceyhan河上是土耳其建造的最高拱坝之一被选中以进行现场验证。环境振动试验在研究开始时使用初始候选传感器位置进行。增强频域分解和随机子空间识别方法用于提取实验动态特性。然后,根据坝的最佳传感器位置重复测量。这些位置使用有效的独立方法指定。为了确定最佳传感器位置,使用从具有大量加速度计的所选坝的环境振动测试获得的目标模式形状矩阵。从每个环境振动测试获得的动态特性彼此比较。得出结论,从初始测量获得的动态特性和从有限数量的传感器获得的动态特性彼此兼容。这种情况表明,通过有效独立方法确定的最佳传感器放置对于拱坝的动态特性识别是有用的。

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