Updated SPT-Based Seismic Soil Liquefaction Triggering Global Database

ILGAÇ M., ÇETİN K. Ö., Kayen R. E.

GeoCongress on State of the Art and Practice in Geotechnical Engineering, Charlottetown, Canada, 20 - 23 March 2022, vol.334, pp.308-317 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 334
  • Doi Number: 10.1061/9780784484043.030
  • City: Charlottetown
  • Country: Canada
  • Page Numbers: pp.308-317
  • Middle East Technical University Affiliated: Yes


The standard penetration test (SPT) has been used to assess the triggering of seismic soil liquefaction since the early 1970s. The currently available liquefaction case history database is updated and extended with the case histories from recent earthquake events. An updated database, which consists of 405 case histories from several recent major earthquake events (e.g., 1999 Chi-Chi, 2008 Achaia-Ilia, 2010 El-Mayor, 2011 Van, 2011 Tohoku, 2011 Christchurch, 2012 Emilia-Romagna, 2016 Kaikoura, 2018 Jia Sian, etc.) was compiled. This new SPT-based field case history database consists of (1) 405 case histories from (2) 33 new earthquake events, (3) with different faulting mechanisms including strike-slip, normal, reverse, and subduction earthquake events, and introduced (4) new event parameters (e.g., Rrup, Rjb, ztor, etc.), (5) gravelly and silty critical layers with the introduction of new correction terms (e.g., gravel correction), (6) fully digitized borehole information, GPS coordinates, and comparative assessment of new screening criteria with the nearby CPT and Vs data, (7) site response and deconvolution analyses at strong ground motion liquefaction sites to estimate CSR, (8) new parameters related to ground motion and site information (e.g., event type, rupture distance, Vs30m, etc.), (9) a description of geological settings, and (10) new stress (CN), energy (CE), and rod length (CR) correction terms. Within the confines of this manuscript, this database compilation and processing details will be presented. The resulting database is to be used to develop new probability-based liquefaction triggering relationships.