Shear-Wave Velocity-Based Probabilistic and Deterministic Assessment of Seismic Soil Liquefaction Potential

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Kayen R., Moss R. E. S., Thompson E. M., Seed R. B., ÇETİN K. Ö., Kiureghian A. D., ...Daha Fazla

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, cilt.139, sa.3, ss.407-419, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 139 Sayı: 3
  • Basım Tarihi: 2013
  • Doi Numarası: 10.1061/(asce)gt.1943-5606.0000743
  • Dergi Adı: JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.407-419
  • Anahtar Kelimeler: Earthquakes, Liquefaction, Shear waves, Velocity, Sand, Seismic hazard, Correlation, Databases, PENETRATION TEST, RESISTANCE, EARTHQUAKE, STRESS, SITES
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Shear-wave velocity (V-s) offers a means to determine the seismic resistance of soil to liquefaction by a fundamental soil property. This paper presents the results of an 11-year international project to gather new V-s site data and develop probabilistic correlations for seismic soil liquefaction occurrence. Toward that objective, shear-wave velocity test sites were identified, and measurements made for 301 new liquefaction field case histories in China, Japan, Taiwan, Greece, and the United States over a decade. The majority of these new case histories reoccupy those previously investigated by penetration testing. These new data are combined with previously published case histories to build a global catalog of 422 case histories of V-s liquefaction performance. Bayesian regression and structural reliability methods facilitate a probabilistic treatment of the V-s catalog for performance-based engineering applications. Where possible, uncertainties of the variables comprising both the seismic demand and the soil capacity were estimated and included in the analysis, resulting in greatly reduced overall model uncertainty relative to previous studies. The presented data set and probabilistic analysis also help resolve the ancillary issues of adjustment for soil fines content and magnitude scaling factors. DOI: 10.1061/(ASCE)GT.1943-5606.0000743. (C) 2013 American Society of Civil Engineers.