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RISEvaluating Multiobjective Outcomes for Hazard Resilience and Sustainability from Enhanced Building Seismic Design Decisions
Publisher: American Society of Civil Engineers
Abstract: This study investigates the idea that green buildings should be designed to withstand higher extreme loads (loads associated with earthquakes or other hazards) to reduce the environmental impacts associated with posthazard ...
Machine Learning–Based Settlement Models for Shallow-Founded Structures on Interbedded Liquefiable Sites Considering Dense Granular Columns
Publisher: American Society of Civil Engineers
Abstract: AbstractIn this paper, we introduce physics-informed, machine learning (ML)–based predictive
models for the permanent settlement of foundations on stratigraphically variable liquefiable
deposits. In this paper, we define ...
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 ...