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Building a Database for Life Cycle Performance Assessment of Trenchless Technologies
Citation:
Alam, S., E. Allouche, R. Sterling, A. Selvakumar, W. Condit, AND J. Matthews. Building a Database for Life Cycle Performance Assessment of Trenchless Technologies. In Proceedings, 2015 No-Dig show, Denver, CO, March 15 - 19, 2015. North American Society for Trenchless Technology (NASTT), Liverpool, NY, ,, (2015).
Impact/Purpose:
The database is designed to provide a vehicle for municipalities to share their performance history data for different rehabilitation technologies. Several individual retrospective case studies are accessible through the database, as well as summary statistics and the analysis of the overall performance of rehabilitation technologies which includes both qualitative historic data and quantitative data from the retrospective testing results. The focus at this time is primarily on rehabilitation technologies suitable for gravity-driven wastewater collection systems in order to compile several case studies per technology.
Description:
Deployment of trenchless pipe rehabilitation method has steadily increased over the past 40 years and has represented an increasing proportion of the annual expenditure on the nation’s water and sewer infrastructure. Until recently, despite the massive public investments in these technologies, there had been little to no quantitative data available to evaluate their expected performance. The biggest data gap has been identified as the prediction of the remaining asset life for the existing pipe and how long rehabilitation techniques can extend that life. Municipalities have expressed a strong desire for data on the current condition of previously installed systems to validate or correct the assumptions made at the time of rehabilitation. The objective of this study was to accumulate and create a national database of performance results for technologies used in the rehabilitation of gravity sewers and interpreting the results by means of data mining techniques. Specimens from multiple lining techniques were collected from 27 in-service sites, and were subjected to a battery of physical tests. The results and supporting information were exported into a custom-developed web-tool that enables the user to explore and interrogate the data using a series of statistical tools which were developed into the software. This paper describes the specimen collection and testing program for four different locations, describes the web-based tool, and presents key results from the data analysis.
