A comparative study on Soil Properties and Applications Review with EERA and NERA in İstanbul-MARMARAY Project between Kazlıçeşme to Sirkeci

Günay Beyhan
2017 Periodicals of Engineering and Natural Sciences (PEN)  
Over the course of history Marmara region in North-western Turkey has been the site of numerous destructive earthquakes. Based on historical and instrumental earthquake records, the Marmara sea region is one of the most seismically active regions of the Eastern Mediterranean. The Marmara region is under the influence of the western part of the North Anatolian Fault Zone (NAFZ) and the N-S extensional regime of Western Turkey. Therefore, the earthquake risk analysis is very important for the
more » ... portant for the MARMARAY Project. 76 km-long MARMARAY Project is an important project not only for Turkey but also for the world because it joins the two continents through railway. It will also serve for a comfortable and healthy way of environment, providing a contemporary solution for urban transportation. Geotechnical and geological parameters of the region were obtained from analyses of seven boreholes. In this paper, using average wave velocities in layers, thickness, density and formation data based on the PS logs, 43 m and 65.5 m depths ranging from 7 different boring logs in a ground-wise different geological regions in İstanbul, ground response functions were obtained. Based on the soil profiles transferred to EERA (and design spectrums that may be considered crucial in case of an earthquake were obtained. The acceleration record was used as an input motion having PGA value of 0,04287 g (east-west component) which was applied on sublayers (i.e. sand, gravel, clay) using EERA and NERA programs. The analysis is done by keeping constant damping ratio of 5%. Also nonlinear analysis was compared with the linear method of analysis. Stages involved in ground response analyses to develop site-specific response spectra at a soil site are summarized. Some of the known site response analysis methods are summarized and similarities and diff erences between linear and nonlinear methods.
doi:10.21533/pen.v5i1.78 fatcat:2y2cpe4pvzcwhcecaiikpdgc6a