This work presents a novel approach to scoring the structural condition of sewer pipes applicable to risk-based and network wide analysis processes. Using a statistically determined expected time to failure of a pipe, the concept of discounting is used to calculate the structural condition score. The process developed utilizes existing techniques in sewer pipe failure and condition modeling, and transforms the results into easily interpretable and verifiable condition grades. Additionally, a method to estimate the expected time to failure for pipes using the codes from the National Association of Sewer Service Companies Pipeline Assessment Certification Program was developed.
Since the majority of sewer pipes are buried, pipe attribute and assessment data is often incomplete, inaccurate, and expensive to obtain. Data mining and data preprocessing techniques were analyzed and applied to pipe data. A procedure for handling conflicting survey results is developed and presented. The developed condition scoring system enhances the ability of sewer system managers to better interpret the vast amount of system data becoming available. Additionally, the system is robust enough to handle future improvements in pipe condition and failure predictions. The system is implemented using pipe data and inspection results from multiple utilities.
|Advisor:||Attoh-Okine, Nii O.|
|Commitee:||Dentel, Steven K., Kauffman, Gerald J., McNeil, Sue|
|School:||University of Delaware|
|Department:||Department of Civil and Environmental Engineering|
|School Location:||United States -- Delaware|
|Source:||DAI-B 72/12, Dissertation Abstracts International|
|Keywords:||Buried pipes, Mean time to failure, Pipe inspection, Risk-based decision making, Sewer pipes, Statistical failure modeling, Structural condition scoring|
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