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Modal identification of a centrifuge soil model using subspace state space method

机译:基于子空间状态空间方法的离心机土壤模型模态识别

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In this paper, modal parameters of a layered soil system comprising of a soft clay layer overlying a dense sand layer are identified from accelerometer recordings in a centrifuge test. For the first time, the subspace state space system identification (4SID) method was employed to identify the natural frequencies, damping ratios, and complex valued mode shapes while considering the non-proportional damping in a soil system. A brief review of system identification concepts needed for application of the 4SID techniques to structural modal identification is provided in the paper. The identified natural frequencies were validated against those estimated by transfer function spectra. The computed normal mode shapes were compared with closed-form solutions obtained from the one-dimensional shear wave propagation equation. The identified modal parameters were then employed to synthesize state space prediction models which were subsequently used to simulate the soil response to three successive base motions. The identified models captured acceleration time-histories and corresponding Fourier spectra reasonably well in the small and moderate shaking events. In the stronger third shaking event, the model performed well at greater soil depths, but was less accurate near the surface where nonlinearities dominated. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在本文中,由离心测试中的加速度计记录确定了由覆盖在致密砂层上的软粘土层组成的分层土壤系统的模态参数。首次使用子空间状态空间系统识别(4SID)方法来识别固有频率,阻尼比和复数值模式形状,同时考虑土壤系统中的非比例阻尼。本文简要介绍了将4SID技术应用于结构模态识别所需的系统识别概念。相对于通过传递函数谱估计的固有频率验证了识别出的固有频率。将计算出的法向模式形状与从一维剪切波传播方程获得的封闭形式解进行比较。然后将识别出的模态参数用于综合状态空间预测模型,随后将其用于模拟土壤对三个连续基本运动的响应。识别出的模型在中小抖动事件中可以很好地捕获加速时间历史和相应的傅立叶光谱。在更强烈的第三次震动事件中,该模型在较大的土壤深度下表现良好,但在非线性占主导的表面附近精度较低。 (C)2016 Elsevier Ltd.保留所有权利。

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