首页> 外文会议>World conference on earthquake engineering >AN INVERSION METHOD TO DETERMINE STRESS DISTRIBUTION ON A FAULT PLANE USING GROUND MOTIONS
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AN INVERSION METHOD TO DETERMINE STRESS DISTRIBUTION ON A FAULT PLANE USING GROUND MOTIONS

机译:一种反演方法,用于使用地面运动确定故障平面上的应力分布

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The rupture process of an earthquake has large effect on near-field ground motions. Because source-time functions are affected by the stress drop process, it is important to understand the dynamic rupture process of earthquake faults to estimate near-field ground motions. Kinematic inversion analyses have been carried out to obtain spatiotemporal slip distributions, from which the stress distributions on the fault plane have been inferred. In this study, an inversion method to infer stress drop process of an earthquake fault is developed. To express a spatiotemporal stress distribution on an earthquake fault during an earthquake, a fault is divided into subfaults and the shear stress on a subfault after the passage of the rupture front is assumed to change repeatedly to its residual stress. Stress changes of subfaults are inferred directly from the observed ground motions. Total rupture processes are composed of the stress change histories of the subfaults. To examine the performance of the method, a simulation test was conducted. A relatively simple model was used in the simulation and the computed synthetics were used as observed seismograms. The inversion was stabilized by adding smoothing constraints and ABIC was employed to objectively determine the optimal values of hyperparameters. The inferred time histories of stress changes on subfaults fit generally well with the assumed rupture process.
机译:地震的破裂过程对近场地面运动有很大影响。由于源时间函数受到压力下降过程的影响,因此了解地震故障的动态破裂过程非常重要,以估算近场地面运动。已经进行了运动反转分析以获得时尚滑动分布,从中推断出故障平面上的应力分布。在本研究中,开发了一种转化方法,用于推断地震故障的应力下降过程。为了在地震期间表达在地震故障上的时空应力分布,假设破裂前部的通过后,将故障分为子溃疡,并且在破裂前面的通过后对子排放的剪切应力被反复变为其残余应力。直接从观察到的地面运动中推断出胎折的压力变化。总破裂过程由子故障的应力变化历史组成。为了检查该方法的性能,进行了模拟测试。在模拟中使用相对简单的模型,并且计算的合成综合以理以观察到的地震图使用。通过添加平滑约束,采用轴斜率来稳定反转,客观地确定近似数目的最佳值。在假定的破裂过程中,压力变化的推断时间历史通常很好地适合。

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