7 papers
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…
2025 EERI LFE Travel Study -- Mexico: Lessons in soft soils, subsidence, and site effects
Morgan D. Sanger, Kenny Buyco, Mohammed S. Ibrahim +2
The 1985 M8.1 Mexico City earthquake marked a turning point in Mexican earthquake engineering, underscoring the influence of soft soils, subsidence, and site effects on seismic per…
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…
Why "AI" Models for Predicting Soil Liquefaction have been Ignored, Plus Some that Shouldn't Be
Brett W. Maurer, Morgan D. Sanger
Soil liquefaction remains an important and interesting problem that has attracted the development of enumerable prediction models. Increasingly, these models are utilizing algorith…