Geo-Congress 2026: Earthquake Engineering and Soil Dynamics, Utah, Amerika Birleşik Devletleri, 9 - 12 Mart 2026, ss.427-438, (Tam Metin Bildiri)
For a series of sites with post-event observations from GEER Association reconnaissance activities in the regions affected by two large earthquakes in Türkiye on February 6, 2023, we present the results of targeted site investigations. Four investigated sites are near critical ground motion accelerometer/seismometer sites where ground failure from liquefaction was either observed to have occurred or was observed to have not occurred but might reasonably have been anticipated based on surface geology. Two additional sites located in Hatay–Antakya–Demirköprü have been investigated. One on a point bar of the Orontes River experienced liquefaction manifestations in the form of lateral spreading and soil ejecta, while the second in a cut bank experienced minor to no ground failure. The investigations performed include borings with standard penetration testing, cone penetration testing that includes downhole shear wave travel time measurements, surface wave dispersion curves, and laboratory testing of samples recovered from the field. The main point of this paper is to present the data that have been assembled using standard templates and added to the Next Generation Liquefaction database, which will support future modeling efforts. Measurements from sites near ground motion stations are used to correct the estimated VS30 values in the Next Generation Attenuation-West3 database. The uncertainty associated with these measurements is quantified. The resulting VS30 values are used to derive non-ergodic site responses at the recording sites. Case history sites located in Hatay–Antakya–Demirköprü are examined using two legacy models and the recent Next Generation Liquefaction (NGL) triggering–manifestation model. One of the sites experienced surface manifestation, which was correctly predicted by each of the models (true positive predictions). Another site did not have manifestation, which was incorrectly predicted by legacy models that use a critical layer framework (false positive prediction) but was correctly predicted by the NGL model (true negative).