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Estimating the Seismological Source Parameters of the 2006 Silakhor Earthquake, Iran, Using a Genetic Algorithm

机译:利用遗传算法估算2006年Silakhor地震,伊朗的地震源参数

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The main objective of this article is to estimate the seismological source parameters of Silakhor earthquake which happened on March 31, 2006, in the southern part of Iran The Empirical Green's Function approach was used for simulating the main shock and the well known Genetic Algorithm was utilized for modifying the seismological source parameters. The Kostrov slip function was adopted in the model due to its ability in more accurately modeling the rupture process. The selected station was sufficiently far away from the causative source so that the near source problems would not effect on the simulated time series. The GA process compares the elastic response spectra with 5% damping ratio, corresponding to the synthesized three components of acceleration time histories with those of observed data at this station. Proper matching of these two types of data illustrates the potentiality of the technique in simulating and/or modifying the seismological source parameters. It also shows the reliability of the selected source-path parameters and site soil conditions. The proposed technique can be used in simulating strong motions to be used as a tool for estimating more reliable strong motions.
机译:本文的主要目标是估算2006年3月31日发生的Silakhor地震的地震源参数,在伊朗的南部,实证绿色的功能方法用于模拟主要休克,并且利用了公知的遗传算法用于修改地震源参数。由于其在更准确地建模破裂过程的能力,在模型中采用了Kostrov滑移功能。所选站远离致原因,使得近源问题不会影响模拟时间序列。 GA过程将弹性响应光谱与5%的阻尼比进行比较,对应于在该站的观察数据的加速时间历史的合成三分组成部分。这两种类型的数据的适当匹配说明了在模拟和/或修改地震源参数时该技术的潜力。它还显示了所选择的源路径参数和地点土壤条件的可靠性。所提出的技术可用于模拟强大的运动用作估计更可靠的强运动的工具。

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