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首页> 外文期刊>Nonlinear processes in geophysics >Site effect classification based on microtremor data analysis using a concentration–area fractal model
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Site effect classification based on microtremor data analysis using a concentration–area fractal model

机译：基于使用浓度-面积分形模型的微震数据分析的场地效应分类

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The aim of this study is to classify the site effect using concentration–area (iC/i–iA/i) fractal model in Meybod city, central Iran, based on microtremor data analysis. Log–log plots of the frequency, amplification and vulnerability index (ik/i?ig/i) indicate a multifractal nature for the parameters in the area. The results obtained from the iC/i–iA/i fractal modelling reveal that proper soil types are located around the central city. The results derived via the fractal modelling were utilized to improve the Nogoshi and Igarashi (1970, 1971) classification results in the Meybod city. The resulting categories are: (1) hard soil and weak rock with frequency of 6.2 to 8 Hz, (2) stiff soil with frequency of about 4.9 to 6.2 Hz, (3) moderately soft soil with the frequency of 2.4 to 4.9 Hz, and (4) soft soil with the frequency lower than 2.4 Hz.
机译：这项研究的目的是根据微震数据分析，使用伊朗中部梅博德市的浓度-面积（ C - A ）分形模型对场地效应进行分类。频率，放大率和脆弱性指数（ k ？ g ）的对数对数图表明了该区域参数的多重分形特征。从 C – A 分形模型获得的结果表明，适当的土壤类型位于中心城市周围。通过分形模型得出的结果被用于改善梅博德市的Nogoshi和Igarashi（1970，1971）分类结果。结果类别为：（1）频率为6.2至8 Hz的硬土和软岩;（2）频率为4.9至6.2 Hz的硬土;（3）频率为2.4至4.9 Hz的中度软土; （4）频率低于2.4 Hz的软土。

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