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STUDYING THE IMPORTANT PARAMETERS IN EARTHQUAKE SIMULATION BASED ON STOCHASTIC FINITE FAULT MODELING

机译:基于随机有限故障建模的地震模拟中重要参数的研究

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Opposite to the long period ground motions that can be predicted and estimated, high frequency ground motions have random quality and behave stochastically. Bore stochastic method can be used for modeling high frequency ground motions where there is no accelerograghic record. Stochastic modeling methods are of two kinds: in the first one, seismic source is a point source and in the second, named modeling based on finite fault,seismic source is a rectangular fault plane divided by the same point sources in its longitudinal and traversal directions. Three parameters- quality factor, kappa and stress drop, the important parameters in modeling, are considered in this study. Here, it is found that the main effect of quality factor is on the high frequencies and variation of this parameter has no significant effect on the spectral accelerations in low frequencies. The spectral acceleration and maximum ground acceleration (PGA) decrease when kappa increases; however, the acceleration reduction is higher in high frequencies. Finally, the stress drop increment makes the spectral acceleration increase significantly in high frequencies. In this research the effect of shear wave velocity and density on the modeled accelerations are studied as well.
机译:与可以预测和估计的长期地面运动相反,高频地面运动具有随机质量,并且具有随机性。钻孔随机方法可用于对没有加速度记录的高频地面运动进行建模。随机建模方法有两种:第一种是地震源是点源,第二种是基于有限断层的命名建模,地震源是一个矩形的断层平面,在其纵向和横向上均被相同的点源所划分。 。在这项研究中,考虑了三个参数-品质因数,κ和应力降,这是建模中的重要参数。在这里,发现品质因数的主要影响是在高频上,并且此参数的变化对低频的频谱加速度没有显着影响。当kappa增大时,频谱加速度和最大地面加速度(PGA)减小;但是,高频下的加速度降低更大。最后,应力降的增加使频谱加速度在高频下显着增加。在这项研究中,还研究了横波速度和密度对模型加速度的影响。

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