Ground Motion Data Profile of Western Turkey with Intelligent Hybrid Processing

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 adva...

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Bibliographic Details
Published in:Pure and applied geophysics 2017, Vol.174 (1), p.293-303
Main Authors: Korkmaz, Kasim A., Demir, Fuat
Format: Article
Language:English
Subjects:
Algorithms
Earth and Environmental Science
Earth Sciences
Earthquake construction
Earthquake damage
Earthquakes
Fuzzy logic
Geophysics/Geodesy
Ground motion
Hybrid systems
Mathematical analysis
Risk assessment
Seismic activity
Seismic hazard
Seismology
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Summary: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.
ISSN:0033-4553
1420-9136
DOI:10.1007/s00024-016-1379-8