DETERMINATION OF SPECTRAL AMPLIFICATION FACTORS BY A SIMULATION BASED METHOD FOR SOUTH COAST SOILS OF ISTANBUL


Creative Commons License

Fercan N. Ö., Ansal M. A.

10th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Rodos, Yunanistan, 15 - 18 Haziran 2025, ss.1-5, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Rodos
  • Basıldığı Ülke: Yunanistan
  • Sayfa Sayıları: ss.1-5
  • İstanbul Kültür Üniversitesi Adresli: Evet

Özet

The city of Istanbul was seismically instrumented by a dense Rapid Response Network (IRRN) and Geotechnical Downhole Arrays (IGDA) after the 1999 Mw=7.6 Izmit Earthquake. Especially, the south coast soils of Istanbul European Side composed of Cenozoic aged younger formations are expected to be affected by a probable earthquake more, compared to the other parts of the city. Along a 10 km long route, response spectral amplification factors are calculated depending on a simulation-based method. The method includes 1-D site response analyses of 1000 shear wave velocity (Vs) profiles produced by Monte Carlo simulation, and the assignment of a best-fit Vs profile due to the least squared error between recorded ground motions and the modelled ones. The best-fit Vs profile is chosen due to the recorded motions of near field earthquakes Rjb<100 km with M<4.8. The optimized Vs profile is used for modelling the response spectral accelerations by scaled bedrock motions of downhole arrays due to expected bedrock PGA rates of 10% probability of exceedance in 50 years defined in Turkish Earthquake Building Code (TEBC, 2018). A scaling procedure for bedrock PGAs is applied to model nonlinear response spectral amplification factors. The south coast soil layers of Istanbul exceed the design spectrum for a return period of T=475 years (10% probability of exceedance in 50 years) especially at Zeytinburnu district. The proposed method can be applied to any instrumented seismically active regions to reveal the response spectral performance.