TECHNICAL PAPERS
Sep 1, 1998

Optimization Modeling for Sewer Network Management

Publication: Journal of Construction Engineering and Management
Volume 124, Issue 5

Abstract

Due to their low visibility, sanitary sewers' condition assessment and rehabilitation are frequently neglected until a catastrophic failure occurs. Neglecting regular maintenance of these underground utilities adds to life-cycle costs and liabilities, and in extreme cases causes stoppage or reduction of vital services. A systematic approach for the determination of deterioration of sewer systems and an integrated management system are necessary to fully understand the complete status of this underground infrastructure system. This paper discusses the major aspects of integrated management for sewer systems, namely, the development of network identification, sewer classification and sewer condition rating systems, sewer deterioration mechanisms, prediction modeling, and the use of optimization techniques for maximizing benefit/cost ratios over a planning horizon. A case study, based on large combined sewers from the city of Indianapolis, has been used to demonstrate the use of the framework of this integrated life-cycle based sewer management system. Deterministic dynamic programming is employed to identify appropriate sewer rehabilitation techniques at different stages during the planning horizon adopted for the sewer systems.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 124Issue 5September 1998
Pages: 402 - 410

History

Published online: Sep 1, 1998
Published in print: Sep 1998

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Authors

Affiliations

Dulcy M. Abraham
Asst. Prof., School of Civ. Engrg., Purdue Univ., West Lafayette, IN 47907.
Reini Wirahadikusumah
Res. Asst., School of Civ. Engrg., Purdue Univ., West Lafayette, IN.
T. J. Short
Assoc., Greeley and Hansen, 3750 Guion Rd., Ste. 200, Indianapolis, IN 46222-1669.
Shahpor Shahbahrami
Proj. Mgr., City of Indianapolis, 604 N. Sherman Dr., Indianapolis, IN 46201.

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