Inversion of shear wave velocity based on downhole array strong motion recordings
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摘要: 基于日本地震台站网KiK-net实测地震记录,提出了一种土体动力模型参数的反演算法。该算法采用基于无迹卡尔曼滤波技术的贝叶斯估计方法,能够充分结合先验信息,对参数及其不确定性进行估计。首先使用了一个数值算例,验证了该算法在无模型误差下能够成功估计土体动力模型参数。然后用KiK-net实测地震动数据进行了剪切波速结构的反演,得到的结果表明,该算法反演得到的参数能够较好地表征土体线性特征,且可以对土体的动力响应得到较好的预测结果。Abstract: An inversion algorithm is proposed to estimate the model parameters of soil dynamic response based on the KiK-net downhole array recordings. The algorithm borrows the Bayesian estimation technique using the unscented Kalman filtering, and can make full use of the prior message to obtain the estimation of the model parameters and their uncertainties. By solving a numerical example, it is shown that the algorithm is successful in estimating the dynamic soil properties. After applying the algorithm to a KiK-net station, the results show that the estimation of the shear wave velocity profile can well characterize the linear behavior of soils. Using the estimation of the model parameters of soils, the dynamic response model shows good performance of predicting the response of soil surface.
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图 8 地震记录IWTH080508161146的加速度时间序列
Figure 8. Time histories of acceleration of event IWTH080508161146
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图 11 地表加速度响应估计与实测的对比
Figure 11. Comparison of time histories of ground surface acceleration
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