Chapter
Jul 11, 2018
Pipelines 2018

Consequence of Failure of Sewers (COFS) Model for Risk-Based Asset Management Using Analytical Hierarchy Process

Publication: Pipelines 2018: Condition Assessment, Construction, and Rehabilitation

ABSTRACT

The deterioration and subsequent failure of sewer pipes impacts the community, the environment, and has significant economic consequences for utility owners. As a result, it is vital that sewer utilities have a robust methodology that accurately assesses the consequences of sewer pipe failure. The aim of this paper is to present a consequence of failure of sewers (COFS) model that uses a weighted sum multicriteria decision making method based on sewer expert opinion to assess the economic, social, and environmental consequences of sewer pipe failure. The first part of this paper briefly reviews methods used in practice to assess the consequence of failure (CoF) of sewer pipes. The proposed methodology is presented next, where the analytical hierarchy process (AHP) is used to develop the COFS model by incorporating a series of internal and external pipe factors. When incorporated with probability of sewer pipe failures, the COFS model is useful in determining the risk of sewer pipe failures to budget and prioritize maintenance actions more efficiently. The final part of the paper presents a short example where the model was applied to a 54-inch diameter reinforced concrete sewer pipe segment.

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REFERENCES

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Information & Authors

Information

Published In

Go to Pipelines 2018
Pipelines 2018: Condition Assessment, Construction, and Rehabilitation
Pages: 95 - 104
Editors: Christopher C. Macey, AECOM and Jason S. Lueke, Ph.D., Associated Engineering
ISBN (Online): 978-0-7844-8165-3

History

Published online: Jul 11, 2018
Published in print: Jul 12, 2018

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Authors

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Greta J. Vladeanu, S.M.ASCE [email protected]
Trenchless Technology Center, Louisiana Tech Univ., Ruston, LA 71272. E-mail: [email protected]
John Matthews, Ph.D., M.ASCE [email protected]
Trenchless Technology Center, Louisiana Tech Univ., Ruston, LA 71272. E-mail: [email protected]

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