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Dynamic inversion method for the material parameters of a high arch dam and its foundation

机译:高拱坝材料参数的动态反演方法及其基础

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The overall mechanical behavior of the structure of an arch dam is comprehensively reflected by the vibration modal information included in measured vibration response. Hence, the results obtained from inverting material parameters based on measured vibration data are often superior to those based on static monitoring data. In this study, a dynamic inversion method for the material parameters of a high arch dam and its foundation is proposed on the basis of the measured vibration response. First, an arch dam prototype test is conducted to obtain the measured dynamic displacement response as input. Then, a stochastic subspace identification method based on singular entropy is formulated to determine the modal parameters. Second, a dynamic elastic modulus (DEM) with a great influence on the modal parameters is selected as the material parameter to be inverted. Then, a response surface model (RSM), which reflects the nonlinear relationship between the material and modal parameters of each zone, is constructed. Latin hypercube sampling is used to generate the sample library of the DEM. The RSM is fitted by modal parameters calculated on the basis of the arch dam finite element model (FEM) and is applied to replace the FEM. Finally, the optimization mathematical model of the inversion of the DEM is established. Then, the objective function is optimized through a genetic algorithm, and the optimal combination of the DEM in each zone is inverted. The modal parameters of the arch dam calculated by inversion results are consistent with those measured by variation law and values. Therefore, the inversion results are reasonable and reliable. This method provides a new idea for determining the material parameters of a high arch dam and its foundation during the operation period. (C) 2019 Elsevier Inc. All rights reserved.
机译:实测的振动响应中包含的振动模态信息全面反映了拱坝结构的整体机械性能。因此,从基于测得的振动数据反转材料参数获得的结果通常优于基于静态监控数据的结果。在这项研究中,基于实测振动响应,提出了一种高拱坝材料参数的动态反演方法及其基础。首先,进行拱坝原型试验,以获得测得的动态位移响应作为输入。然后,提出了一种基于奇异熵的随机子空间识别方法来确定模态参数。其次,选择对模态参数有很大影响的动态弹性模量(DEM)作为要反转的材料参数。然后,构建了一个响应面模型(RSM),该模型反映了每个区域的材料和模态参数之间的非线性关系。拉丁超立方体采样用于生成DEM的样本库。 RSM由基于拱坝有限元模型(FEM)计算的模态参数拟合,并用于替代FEM。最后,建立了DEM反演的优化数学模型。然后,通过遗传算法优化目标函数,并将每个区域中DEM的最佳组合求反。反演结果计算的拱坝模态参数与变化规律和数值测得的模态参数一致。因此,反演结果是合理可靠的。该方法为确定高拱坝坝体材料参数及其运行期提供了新思路。 (C)2019 Elsevier Inc.保留所有权利。

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