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Risk-Based Water Pipe Failure Prediction through Machine Learning and Hydraulic Models
Publisher: American Society of Civil Engineers
Abstract: AbstractFailures in water transmission lines (WTLs) can cause severe disruptions, high repair
costs, and extensive damage to surrounding areas. The interest in proactive management
through predictive methods as a way to ...
Surrogate Model for Predicting Stresses and Strains of Buried PVC Pipes in Water Distribution Networks
Publisher: American Society of Civil Engineers
Abstract: AbstractThis study presents the development of a surrogate model for evaluating the mechanical
behavior of buried polyvinyl chloride (PVC) pipes, widely used in the water industry
for conveying drinking water under pressure ...
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