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首页> 外文期刊>Earthquake and structures: An International journal of earthquake engineering & earthquake effects on structures >Peak ground acceleration attenuation relationship for Mazandaran province using GEP algorithm
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Peak ground acceleration attenuation relationship for Mazandaran province using GEP algorithm

机译:Mazandaran Qual使用GEP算法的峰地加速衰减关系

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摘要

The choice of attenuation relationships is one of the most important parts of seismic hazard analysis as using a different attenuation relationship will cause significant differences in the final result, particularly in near distances. This problem is responsible for huge sensibilities of attenuation relationships which are used in seismic hazard analysis. For achieving this goal, attenuation relationships require a good compatibility with the target region. Many researchers have put substantial efforts in their studies of strong ground motion predictions, and each of them had an influence on the progress of attenuation relationships. In this study, two attenuation relationships are presented using seismic data of Mazandaran province in the north of Iran by Genetic Expression Programming (GEP) algorithm. Two site classifications of soil and rock were considered regarding the shear wave velocity of top 30 meters of site. The quantity of primary data was 93 records; 63 of them were recorded on rock and 30 of them recorded on soil. Due to the shortage of records, a regression technique had been used for increasing them. Through using this technique, 693 data had been created; 178 data for soil and 515 data for rock conditions. The Results of this study show the observed PGA values in the region have high correlation coefficients with the predicted values and can be used in seismic hazard analysis studies in the region.
机译:衰减关系的选择是使用不同衰减关系的地震危害分析的最重要部分之一,这将导致最终结果的显着差异,特别是在近距离。这个问题负责衰减关系的巨大敏感性,这些衰减关系用于地震危害分析。为了实现这一目标,衰减关系需要与目标区域良好的兼容性。许多研究人员在他们对强大的地面运动预测的研究中进行了实质性努力,每个研究人员都对衰减关系的进展产生了影响。在这项研究中,通过遗传表达规划(GEP)算法,使用Mazandaran北部的地震数据来介绍两个衰减关系。考虑了土壤和岩石的两种网站分类,用于剪切波速度的位点前30米。主要数据数量为93条记录;其中63人被记录在岩石上,其中30个记录在土壤上。由于记录短缺,回归技术已被用于增加它们。通过使用此技术,已创建693个数据; 178土壤数据和515个岩石条件数据。该研究的结果表明该区域中观察到的PGA值具有高相关系数,具有预测值,并且可用于该地区的地震危害分析研究。

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