6 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Network-Scale Road Disruption from Liquefaction in Cascadia Subduction Zone Earthquakes
M. D. Sanger, O. Blaze-Smith, B. W. Maurer +3
This paper presents a mechanics-informed, data-driven framework for modeling liquefaction-induced disruption of roadway networks following a magnitude-9 earthquake on the Cascadia…
U.S. National Liquefaction Hazard Maps and their Implications for Engineering Practice and Policy
Morgan D. Sanger, Victoria P. Zdanovski, Brett W. Maurer
This study introduces U.S. national liquefaction hazard maps (NLHMs) developed using a mechanics-informed, geospatial machine learning model which surrogates state-of-practice liqu…
Geospatial AI for Liquefaction Hazard and Impact Forecasting: A Demonstrative Study in the U.S. Pacific Northwest
Morgan D. Sanger, Brett W. Maurer
Recent large-magnitude earthquakes have demonstrated the damaging consequences of soil liquefaction and reinforced the need to understand and plan for liquefaction hazards at a reg…
Mechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response
Morgan D. Sanger, Mertcan Geyin, Brett W. Maurer
Using machine learning (ML), high performance computing, and a large body of geospatial information, we develop surrogate models to predict soil liquefaction across regional scales…