6 citations · 7 across the 7 of their papers we have counts for
7 papers
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…
A Framework for Modeling Liquefaction-Induced Road Disruptions After Earthquakes: Implications for Emergency Response and Access in the Cascadia Region of North America
Morgan D. Sanger, Olyvia B. Smith, Brett W. Maurer +3
Large earthquakes along the Cascadia Subduction Zone (CSZ) are expected to trigger widespread soil liquefaction that could disrupt transportation systems across the U.S. Pacific No…
Have Large Language Models Enhanced the Way Civil & Environmental Engineers Write? A Quantitative Analysis of Scholarly Communication over 25 Years
Morgan D. Sanger, Brett W. Maurer
Large language models (LLMs) have rapidly emerged in civil and environmental engineering (CEE) research, education, and practice as tools for project ideation, execution, and commu…
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…
Parametric modeling of shear wave velocity profiles for the conterminous U.S
Morgan D. Sanger, Brett W. Maurer
Earthquake ground motions and the related damage can be significantly impacted by near-surface soils. Accurate predictions of seismic hazard require depth-continuous models of soil…
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…