Advanced Condition Assessment and Failure Prediction Technologies for Optimal Management of Critical Water Supply Pipes - 4326
Completion Year Research Value Research Manager Principal Investigator Contractor
2016 $1,000,000.00 Dr. Jian Zhang Jayantha Kodikara

This research encompasses a five-year program to enhance understanding of pipe condition and deterioration mechanisms to better predict when and where a pipe might fail, and the best method to intervene in order to extend the longevity of a pipe. The research tasks were divided into the following three activities: 

Activity 1: Failure Prediction: How, when, and where will pipes fail within the entire network? The outcome of Activity 1 will include (1) improved methods for estimation of pipe remaining life considering available information including condition assessment data and (2) development of practical concepts.

Activity 2: Condition Assessment: How do we assess the condition of the pipe cost effectively? The outcome of Activity 2 will be a method to accurately predict sensor readings for a given geometric description of a buried large water main, and obtain the best estimate of the pipe geometry from a set of measurements based on maximum likelihood principles.

Activity 3: Corrosion Modeling: How do we calculate pipe deterioration rates accurately with respect to pipe environment? Activity 3 will develop and calibrate a realistic predictive model for pipe corrosion in soil, including the collection of data sets for measured pit depths and associated soil conditions.

The final report, detailing the findings of this five-year effort, will be published in the near future. More information about this project can be found on the project website, Twenty Fact Sheets, which are interim deliverables, are posted below under Project Papers. 

Research partners: Sydney Water, Hunter Water Corporation, City West Water, Melbourne Water, South East Water Limited, Water Corporation of West Australia, South Australia Water, and UKWIR.

No reports available.
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