CPT-based probabilistic assessment of seismic soil liquefaction triggering relationships

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2022-6

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Can, Gizem

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The research aims to define possibly the most accurate and unbiased probability-based seismically induced soil liquefaction triggering relationships for cohesionless soils. One key objective is to construct a well-studied database that processes liquefied and non-liquefied case histories from seismic events up to date consistently. For that purpose, Moss et al. (2003) database is revisited with improved parameter investigation, better case history processing, and advanced regression tools. Then the final database is extended with new case histories compiled from the 2001 Nisqually earthquake, 2003 San Simeon earthquake, 2010 El Mayor Cucapah earthquake, 2010 Maule earthquake, 2010 Jiasian earthquake, 2010-2011 New Zealand-Canterbury earthquakes, 2011 Tohoku earthquake, 2012 Emilia-Romagna earthquakes, 2015 Illapel earthquake. After complying with the entire database, it is processed to develop improved CPT-based correlations for predicting the initiation of soil liquefaction during earthquakes; then, the database is evaluated by overall uncertainty using higher-order regression tools. Maximum likelihood assessment is chosen as the probabilistic framework for developing resulting liquefaction triggering boundary curves and relationships. Several important details and corrections relating to the interpretation of CPT data are studied to make the correlation as accurate as possible.

Subject Keywords

Liquefaction, Case history, CPT, Probabilistic modeling

URI

https://hdl.handle.net/11511/98170

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

G. Can, “CPT-based probabilistic assessment of seismic soil liquefaction triggering relationships,” Ph.D. - Doctoral Program, Middle East Technical University, 2022.