Kandilli Rasathanesi ve Deprem Araştırma Enstitüsü

Permanent URI for this community

https://digitalarchive.library.bogazici.edu.tr/handle/123456789/11602

Browse

Browsing Kandilli Rasathanesi ve Deprem Araştırma Enstitüsü by Author "Adanır, Emrecan."

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    A study on fling steps in the Turkish strong ground motion dataset
    (Thesis (M.S.) - Bogazici University. Kandilli Observatory and Earthquake Research Institute, 2023., 2023) Adanır, Emrecan.; Tanrıcan, Gülüm.
    In this study, the existing methodologies on fling step calculation from strong ground motions have been investigated and improvements on the most recent data processing scheme eBASCO (Schiappapietra et al., 2021) have been proposed. Capability of the proposed scheme is verified through comparison of permanent displacements that obtained on the processed records and those derived from the co-located GPS data both from Türkiye and worldwide earthquakes. For the first time, Türkiye permanent displacement inventory is created through processing both horizontal and vertical components of the Turkish strong motion dataset. For this purpose, 288 recordings (Rjb ≤ 50 km) of 20 shallow crustal earthquakes (Mw ≥ 6) occurred between 1983-2023 are utilized. In addition, 36 recordings of the 2023 Kahramanmaraş (Mw 7.7) earthquake are also processed and included in this thesis. Performance of evaluation of two global prediction models for fling amplitudes (Kamai et al. (2014) and Burks and Baker (2016)) are performed using Turkish permanent displacement inventory. Then, fling step prediction model of Burks and Baker (2016) is adjusted and the Türkiye-adjusted equation has been further compared with the recordings of the 6 February 2023 Kahramanmaraş (Mw 7.7) earthquake. Lastly, the permanent displacements in vertical components from Turkish strong motion database and NESS 2.0 database are inspected. Performance of the Kamai et al. (2014) prediction equation for this component is evaluated through residual analyses. In addition, based on the empirical dataset, a new predictive model for this component is proposed. This study will contribute to both seismic design of new structures and more accurate evaluation of existing structures in the vicinity of faults. The presented inventory will greatly help to identify the fling containing ground motion records to be used in the seismic design of the structures through selecting and scaling procedures. Furthermore, the presented fling inventory will augment to fling values of normal and strike-slip earthquakes in the worldwide fling database by 22% and 33%, respectively.