Improving underground pipeline resilience: Prediction and interpretability analysis of urban water distribution network pipe failures during cold waves using machine learning
Qunfang Hu, Delu Che, Qiang Zhang, Jiahua Zhou, Fei Wang, Zongyuan Zhang, Zhaoyang Song
Topics & Concepts
InterpretabilityPipeline (software)Resilience (materials science)Artificial intelligenceEngineeringMachine learningEnvironmental scienceCivil engineeringMarine engineeringComputer scienceMechanical engineeringMaterials scienceComposite materialWater Systems and OptimizationStructural Integrity and Reliability AnalysisGeotechnical Engineering and Underground Structures