Chapter
Apr 26, 2012
Integration of Geographic Information System and Probabilistic Analysis for Optimized Pipe Infrastructure Decisions
Authors: Jackson Kong [email protected], Michael Martin [email protected], Ian D. Moore [email protected], and H. P. Hong [email protected]Author Affiliations
Publication: Pipelines 2008: Pipeline Asset Management: Maximizing Performance of our Pipeline Infrastructure
Abstract
The need for rational maintenance decisions under uncertainty for municipal pipe infrastructure such as the water distribution system has been clear for some time. However, there have been substantial challenges associated with integrating optimization analysis tools to city inventories, and producing information of direct use to City Engineers. New features have therefore been programmed into a geographic information system (GIS), including the incorporation of an optimization routine, and aids to data processing. Considering the specific characteristics of the initial pipeline and soil geometries and materials, as well as established models for pipe material degradation with time, the new application minimizes total expected cost during service period or the expected cost per unit service period to evaluate optimal rehabilitation scheduling. The system is illustrated using the pipe system from industry partner, the City of Hamilton.
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© 2008 American Society of Civil Engineers.
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Published online: Apr 26, 2012
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Department of Civil and Environmental Engineering, The University of Western Ontario, London, Ontario, N6A 5B9 Canada. E-mail: [email protected]
Department of Geography, Queen's University, MacCory Hall, Kingston ON K7L 3N6 Canada. E-mail: [email protected]
GeoEngineering Centre at Queen's -RMC, Department of Civil and Environmental Engineering, Queen's University, Ellis Hall, Kingston ON K7L 3N6 Canada;. E-mail: [email protected]
Department of Civil and Environmental Engineering, The University of Western Ontario, London, Ontario, N6A 5B9 Canada. E-mail: [email protected]
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