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Ground Motion Data Profile of Western Turkey with Intelligent Hybrid Processing

机译:采用智能混合处理的土耳其西部地震动数据概况

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摘要

The recent earthquakes caused severe damages on the existing buildings. By this motivation, an important amount of research work has been conducted to determine the seismic risk of seismically active regions. For an accurate seismic risk assessment, processing of ground motions would provide an advantage. Using the current technology, it is not possible to precisely predict the future earthquakes. Therefore, most of the current seismic risk assessment methodologies are based on statistical evaluation by using recurrence and magnitude of the earthquakes hit the specified region. Because of the limited number of records on earthquakes, the quality of definitions is questionable. Fuzzy logic algorithm can be used to improve the quality of the definition. In the present study, ground motion data profile of western Turkey is defined using an intelligent hybrid processing. The approach is given in a practical way for an easier and faster calculation. Earthquake data between 1970 and 1999 from western part of Turkey have been used for training. The results are tested and validated with the earthquake data between 2000 and 2015 of the same region. Enough approximation was validated between calculated values and the earthquake data by using the intelligent hybrid processing.
机译:最近的地震对现有建筑物造成了严重破坏。出于这一动机,已经进行了大量的研究工作,以确定地震活跃地区的地震风险。对于准确的地震风险评估,地震动的处理将提供优势。使用目前的技术,不可能精确预测未来的地震。因此,目前大多数地震风险评估方法都是基于统计评估,利用特定区域地震的复发次数和震级。由于地震记录数量有限,定义的质量值得怀疑。模糊逻辑算法可用于提高定义质量。在本研究中,使用智能混合处理定义了土耳其西部的地震动数据剖面。该方法以实用的方式给出,以便更轻松、更快速地进行计算。1970年至1999年间土耳其西部的地震数据已被用于训练。使用同一地区 2000 年至 2015 年间的地震数据对结果进行了测试和验证。通过智能混合处理,验证了计算值与地震数据之间的足够近似值。

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