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Face Slab Dispatch Detection of Concrete Faced Rock-fill Dam Based on Nature Frequency

机译:基于自然频率的混凝土面岩石填埋水坝面板调度检测

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Face slab dispatch often occurs when concrete faced rock-fill dam (CFRD) has undergone a large earthquake, such as the Wen Chuan earthquake in China. In this paper, an approach for face slab dispatch detection of CFRD based on measured nature frequency of face slab under varying water level is proposed. The principal component analysis (PCA) method is used to eliminate the effect of water level changes. The advantage of this method is that the actual relation between water level and nature frequency is not need to understand and only reference data of measured frequencies from face slab without dispatch and monitoring data of measured frequencies from face slab maybe with dispatch is necessary. Through PCA on the reference data, the number of principle component and a linear subspace in which environment variable (water level) effects lie is identified. Then the monitoring data from face slab maybe with dispatch is project to the linear subspace identified above and the residual error of this projection is calculated. By performing kernel density estimation (KDE) on the residual error of PCA, the upper control limits of it is calculated to judge whether dispatch occurred. In order to verify the feasibility of this method, the FEM of a face slab is made and the dispatch between face slab and cushion of a CFRD was stimulated by removing some springs between them. The impact of water level on nature frequency is simulated by some theoretical and empirical formulas. Three sets of computer-simulated data of nature frequencies are studied and the dispatch identification result shows the good performance of this method. Since the identification of nature frequency is more convenient and accurate than other modal parameters, this method has a good prospect to apply to practical engineering.
机译:当混凝土面对岩石填充水坝(CFRD)经历了大地震时,脸部平板调度通常会发生,例如中国中文川地震。在本文中,提出了一种基于不同水位下的面板的测量性质频率的CFRD的面板分配检测方法。主要成分分析(PCA)方法用于消除水位变化的影响。该方法的优点是水位和自然频率之间的实际关系不需要了解,并且仅在没有派遣的情况下测量频率的测量频率的参考数据可能需要与脸部板块的测量频率的数据。通过PCA在参考数据上,原理组件数量和线性子空间,其中识别环境变量(水位)效应谎言。然后,来自脸部板块的监视数据可能与调度是项目到上面识别的线性子空间,并计算该投影的剩余误差。通过对PCA的残余误差进行核密度估计(KDE),计算它的上控制限制以判断是否发生了派遣。为了验证该方法的可行性,通过在它们之间移除一些弹簧,刺激面板的FRAB和CFRD的衬垫之间的分量。一些理论和经验公式模拟水位对自然频率的影响。研究了三套计算机模拟的自然频率数据,并调度识别结果显示了这种方法的良好性能。由于自然频率的识别比其他模态参数更方便和准确,因此该方法具有良好的前景,适用于实用工程。

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