The impact of a PEER funded research project "Next Generation Liquefaction Susceptibility Database and Modelling" is highlighted below. The project Principal Investigator (PI) is Jonathan P. Stewart, UCLA. The Research Team includes Armin Stuedlein, Oregon State University and Scott J. Brandenberg, UCLA.
Workshop participants reported broad support for this probabilistic approach in the development of future susceptibility models. PEER’s PBEE framework is being used in the development of new performance-based design and assessment procedures and there is general agreement that future developments will also be probabilistically-oriented. The development of future probabilistic liquefaction susceptibility models which can fit within the PEER framework has the potential to dramatically advance the current state-of-practice in probabilistic liquefaction hazard analysis. Once this project is completed, sufficient data will be available to formalize a probabilistic liquefaction susceptibility model leveraging both in-situ and cyclic laboratory data to bound the likelihood of liquefaction triggering given the probability that a particular stratum can liquefy based on its fundamental hysteretic behavior.
Caption: Plots of cyclic test results on granular and cohesive soils illustrating different behaviors including “pinching” near origin of stress-strain loops (left figures) and loss of effective stress from pore pressure generation (right figures). Figure adapted from Kramer and Stewart (forthcoming) using test data from Dahl et al. (2014) .