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Identification of earthquake ground motion based on limited acceleration measurements of structure using Kalman filtering technique

机译:基于卡尔曼滤波技术的结构有限加速度测量识别地震地震动

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摘要

Identification of earthquake ground motion from structural health monitoring (SHM) data provides a good means to reconstruct seismic loads that are essential for postearthquake safety assessments and disaster simulations of structures. Because the data measured by an SHM system are structural absolute response, they cannot be directly applied to the structural motion equation, which is established in relative coordinate system. As such, this paper originally derives the motion equation in absolute coordinate system and then expands the equation into modal space. In addition, the proposed method allows for identifying earthquake ground motion using incomplete modal information and limited measurements through the standard Kalman filter. Subsequently, a numerical two-dimensional frame is used to validate the feasibility of the proposed method, and the influences of modal parameters and measurement noise on the identification accuracy are also fully investigated. The results show that the proposed method is sensitive to frequency and measurement noise but insensitive to modal shape and damping ratio. It is also found that the identified ground motion subjected to certain measure noise can still be reliably employed for postseismic response calculations of medium- and long-period structures. Finally, a shaking table test performing on a five-floor frame further demonstrates the effectiveness and accuracy of the proposed identification algorithm for practical application.
机译:从结构健康监测(SHM)数据中识别地震地面运动为重建地震载荷提供了一个很好的方法,这对于地震后的安全评估和结构的灾难模拟至关重要。由于SHM系统测得的数据是结构绝对响应,因此不能直接应用于在相对坐标系中建立的结构运动方程。因此,本文首先在绝对坐标系中导出运动方程,然后将其扩展到模态空间。另外,所提出的方法允许使用不完整的模态信息和通过标准卡尔曼滤波器的有限测量来识别地震地面运动。随后,使用数值二维框架验证了该方法的可行性,并充分研究了模态参数和测量噪声对识别精度的影响。结果表明,该方法对频率和测量噪声敏感,对模态形状和阻尼比不敏感。还发现,所识别的经受一定量度的噪声的地震动仍可以可靠地用于中长期结构的地震后响应计算。最后,在五层框架上进行的振动台测试进一步证明了所提出的识别算法在实际应用中的有效性和准确性。

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