Integrated decision support system for optimal renewal planning of sewer networks

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DOIResolve DOI: http://doi.org/10.1061/(ASCE)0887-3801(2008)22:6(360)
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TypeArticle
Journal titleJournal of Computing in Civil Engineering
Volume22
Issue6
Pages360372; # of pages: 13
Subjectsewer networks, asset management, renewal planning, optimization; Sewers
AbstractThis paper discusses the application of the proposed approach to implement a GIS-based Decision Support System (DSS) to support the renewal planning of sewer networks. Condition rating, risk assessment, and prioritization techniques are described. A procedure for identifying and selecting the most suitable renewal technologies is also presented. A genetic algorithm-based multi-objective optimization technique is used to find a Pareto front of feasible solutions, each comprising a set of sewers to be renewed each year, along with the associated costs and expected benefits in terms of condition improvement and risk reduction. The paper also presents an example application of the prototype DSS on the sewer network in Regina, Canada.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number50095
19366
NPARC number20377321
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Record identifier304619cf-bb15-48af-b431-0c4ea0ee4f3b
Record created2012-07-24
Record modified2016-05-09
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