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首页> 外文期刊>GPS Solutions >Analyzing the shear strength parameters of the Chiu-fen-erh-shan landslide: integrating strong-motion and GPS data to determine the best-fit accelerogram
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Analyzing the shear strength parameters of the Chiu-fen-erh-shan landslide: integrating strong-motion and GPS data to determine the best-fit accelerogram

机译:分析潮峰山滑坡的抗剪强度参数:整合强运动和GPS数据以确定最佳拟合加速度图

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This study adopts the Chiu-fen-erh-shan landslide as a case study for incorporating comprehensive accelerograph and global positioning system (GPS) data to determine the best-fit acceleration data for analyzing a rock avalanche. Previous investigations indicate that the distance from an accelerograph to a landslide site is crucial to determining the best-fit acceleration data to use in conducting a seismic analysis. Unfortunately, the Chiu-fen-erh-shan landslide and its nearest accelerograph station are located in different geological zones. Thus, GPS data were compared to the displacements derived from the accelerograms of nearby monitoring stations to help select the best accelerograph data. This emphasizes that a high density distribution of accelerographs and GPS installations are essential to acquire the best data for the seismic analysis, especially in complex geological zones. After applying the best-fit accelerogram to Newmark’s sliding model and an empirical displacement attenuation formula to back-calculate the shear strength parameters of the sliding surface, a cohesion of 0 kPa and friction angle of the sliding surface of 24.8° were found for this landslide.
机译:本研究以邱分二山滑坡为例,结合了综合的加速度计和全球定位系统(GPS)数据,以确定用于分析岩石雪崩的最佳加速度数据。先前的研究表明,从加速度计到滑坡点的距离对于确定用于地震分析的最佳加速度数据至关重要。不幸的是,潮峰山滑坡及其最近的加速计站位于不同的地质区。因此,将GPS数据与从附近监测站的加速度图得出的位移进行比较,以帮助选择最佳的加速度计数据。这强调了加速度计和GPS装置的高密度分布对于获取地震分析的最佳数据至关重要,特别是在复杂的地质区域。在将最佳拟合加速度图应用于Newmark滑模和经验位移衰减公式以反算滑动面的抗剪强度参数后,发现该滑坡的内聚力为0 kPa,滑动面的摩擦角为24.8°。 。

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