BSHAP project strong ground motion database and selection of suitable ground motion models for the Western Balkan Region

SALİC R., SANDIKKAYA M. A., MİLUTİNOVİC Z., GÜLERCE Z., DUNİ L., KOVACEVİC V., ...Daha Fazla

BULLETIN OF EARTHQUAKE ENGINEERING, cilt.15, sa.4, ss.1319-1343, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 15 Sayı: 4
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1007/s10518-016-9950-3
  • Dergi Adı: BULLETIN OF EARTHQUAKE ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1319-1343
  • Anahtar Kelimeler: BSHAP, Strong motion database, Western Balkan Region, Ground motion prediction equations, Testing and ranking of GMPEs, AVERAGE HORIZONTAL COMPONENT, SEISMIC-HAZARD ANALYSIS, PREDICTION EQUATIONS, RESPONSE SPECTRA, MIDDLE-EAST, DAMPED PSA, NGA MODEL, PGV, EUROPE, ACCELERATION
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

The Harmonization of Seismic Hazard Maps in the Western Balkan Countries Project (BSHAP) was funded for 7 years by NATO Science for Peace and Security Program to support the preparation of new seismic hazard maps of the Western Balkan Region. In the framework of BSHAP, the regional free field strong motion network capacity was significantly increased by deployed recorders (Gulerce et al. in Final report of improvements in the Harmonized Seismic Hazard Maps for the Western Balkan Countries (BSHAP-2) Project, NATO SfP-984374. http://wbalkanscimicmaps.org, 2015) and the BSHAP strong motion database that includes both pre-BSHAP (mostly analogue) and post-BSHAP (all digital) recordings was compiled. The BSHAP strong motion database includes uniformly processed strong motions along with the related earthquake metadata and station information; therefore, it provides a solid base for the ground motion characterization studies in the region. The established database is used for selection of the ground motion prediction equations (GMPEs) to be employed in the probabilistic seismic hazard assessment by comparing the compiled strong ground motions with the predictions of candidate global and Euro-Mediterranean GMPEs in a systematic manner. Details of the selection strategy including the analysis of model predictions for ground motion scaling, data testing to evaluate the model performance, and ranking is provided here along with the GMPE logic tree used in the proposed seismic hazard maps by Kuka et al. (Bull Earthq Eng, under review).