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A Machine Learning–Based Predictive Model for Liquefaction Ejecta Manifestation in Stratigraphically Variable Sites
Publisher: American Society of Civil Engineers
Abstract: AbstractThis paper presents a machine learning–based probabilistic predictive model for estimating
the potential severity of free-field surface ejecta in stratigraphically variable
and interbedded deposits as a measure of ...
PVCO Pipeline Performance Under Large Ground Deformation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Technological advances have improved pipeline capacity to accommodate large ground deformation associated with earthquakes, floods, landslides, tunneling, deep excavations, mining, and subsidence. The fabrication of polyvinyl ...
Assessment of Infrastructure Failures in the 2023 Kahramanmaras Earthquakes
Publisher: American Society of Civil Engineers
Abstract: Abstract The February 2023 Kahramanmaras earthquakes—among the most destructive seismic events
of the last century—caused catastrophic loss of life and widespread damage to critical
infrastructure across 11 provinces in ...
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