On the comparison of the performance of different liquefaction constitutive models and pore water pressure generation methods: The Gölbaşı-Türkiye case study


Sarğın S., Korkmaz G., Altınok E., Öztoprak S., Keleşoğlu M. K., Bozbey İ., ...Daha Fazla

21st ICSMGE, Vienna, Avusturya, 14 - 19 Haziran 2026, cilt.1, sa.1, ss.2695-2700, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1
  • Doi Numarası: 10.53243/icsmge2026-1977
  • Basıldığı Şehir: Vienna
  • Basıldığı Ülke: Avusturya
  • Sayfa Sayıları: ss.2695-2700
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

On February 6, 2023, two powerful earthquakes (Mw 7.7 and Mw 7.6) struck southeastern Türkiye within nine hours, with epicenters in the Pazarcık and Elbistan districts of Kahramanmaraş. The earthquakes caused widespread damage due to ground deformations, soil failures, and structural deficiencies. Notably, soil liquefaction-related damage was concentrated in Gölbaşı district, Adıyaman, drawing significant research attention. This study examines liquefaction in Gölbaşı from a site response perspective. As part of a research project funded by the Scientific and Technological Research Council of Türkiye, comprehensive geotechnical site investigations were conducted, including laboratory tests on disturbed and undisturbed soil samples. A representative soil profile was developed using in-situ and laboratory test results. In the first phase, one-dimensional (1-D) site response analyses were performed on this profile using earthquake records with varying characteristics. In the second phase, excess pore water pressure (EPWP) generation, a key factor triggering soil liquefaction, was modeled using nonlinear analyses in DeepSoil software. These analyses were validated through simulations in Plaxis 2D using advanced constitutive models (UBC3D-PLM, PM4Sand, PM4Silt) for soil liquefaction. The study presents a comparative analysis of EPWP development in soils prone to liquefaction and cyclic mobility, emphasizing critical considerations in applying constitutive models and selecting parameters. The findings provide valuable insights for improving disaster preparedness and response strategies, both in Türkiye and globally.