Simulation Framework for Pipe Failure Detection and Replacement Scheduling Optimization

Simulation Framework for Pipe Failure Detection and Replacement Scheduling Optimization

Identification of water network pipes susceptible to failure is a demanding task, which requires a coherent and extensive dataset that contains both their physical characteristics (i.e., pipe inner diameter, construction material, length, etc.) and a snapshot of their current state, including their...

Full description

Bibliographic Details
Main Authors: Panagiotis Dimas, Dionysios Nikolopoulos, Christos Makropoulos
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Environmental Sciences Proceedings
Subjects:
pipe failure detection
replacement scheduling
WDN simulation
machine learning
optimization
Online Access:https://www.mdpi.com/2673-4931/21/1/37

Internet

https://www.mdpi.com/2673-4931/21/1/37

Similar Items