| dc.creator |
DEMİR, Fuat |
|
| dc.creator |
Korkmaz, Kasim A. |
|
| dc.date |
2016-12-31T21:00:00Z |
|
| dc.date.accessioned |
2020-10-06T11:25:37Z |
|
| dc.date.available |
2020-10-06T11:25:37Z |
|
| dc.identifier |
da43e0a3-25b4-4ffa-b25c-20ccbf88107c |
|
| dc.identifier |
10.1007/s00024-016-1379-8 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/da43e0a3-25b4-4ffa-b25c-20ccbf88107c/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/73588 |
|
| dc.description |
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. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Ground Motion Data Profile of Western Turkey with Intelligent Hybrid Processing |
|
| dc.type |
info:eu-repo/semantics/article |
|