A probabilistic extension of existing site-specific liquefaction triggering and liquefaction manifestation methods for regional scale evaluations

• Published in: Soil dynamics and earthquake engineering (1984) 2024-07, Vol.182, p.108711, Article 108711
• Main Authors: Greenfield, Michael W., Estep, Timothy M., Taing, Jenny, Hitchcock, Christopher
• Format: Article
• Language: English
• ISSN: 0267-7261
• DOI: 10.1016/j.soildyn.2024.108711

Liquefaction hazard analyses are needed for regional-scale applications, such as risk analysis and upgrades of electrical transmission, water conveyance, and highway systems. In this paper, we expand well-established site-specific liquefaction triggering and manifestation analysis methods for regional scale application by explicitly addressing the uncertainty in groundwater conditions, soil behavior classification, and cyclic resistance. The uncertainty inherent to regional-scale geotechnical properties is quantified by considering the inputs into conventional liquefaction triggering and manifestation analyses as random variables. With this flexible and extensional formulation, the geostatistical properties needed for regional scale analyses may be estimated by either averaging borehole information or spatially interpolating geotechnical properties across broad geologic deposits. We demonstrate the utility of the method by analyzing the liquefaction hazard throughout the south San Francisco Bay area, California, U.S.A. The resulting estimates of the probability of liquefaction manifestation tend to be lower than previously published estimates, largely owing to the geologic structure of the area and the uncertainty in liquefaction surface manifestation once liquefaction is triggered at depth. Uncertainties in groundwater conditions, soil behavior classification, penetration resistance, and liquefaction manifestation are quantified by the regional scale analyses, which provide a complete and systematic evaluation of the liquefaction hazards, localize the uncertainties in subsurface conditions, and facilitate supplemental investigations at areas of high uncertainty to fill data gaps. •Existing liquefaction models are extended for regional-scale application.•Flexible model allows deposit-scale averages or spatially interpolated properties.•Geologic structure and uncertain groundwater depth are applied in the model.•Example application in southern San Francisco Bay area, California, U.S.A.