Stochastic analysis of factors affecting sewer network operational condition

Z. Khan; Tarek Zayed; O. Moselhi

doi:10.1061/41073(361)41

Stochastic analysis of factors affecting sewer network operational condition

Z. Khan, Tarek Zayed, O. Moselhi

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

In the case of buried utilities, the quality and reliability of asset related data which is the basis of intervention decision making, is often questionable. This paper presents a stochastic study using Monte Carlo simulation, aimed to investigate the operational condition of a network of sewer pipelines, under different ranges of values of a set of operational parameters. These parameters included: pipe age, length, diameter, slope and Manning's roughness co-efficient, whereas operational condition grade is the response variable. In a parameter impact analysis, each parameter was studied separately with different probability distributions, while keeping all the other parameters at their best fits. Comparison of these simulated overall operational conditions of the network with its actual condition elicits the impact of making system wide changes in the studied parameter. The results of this study can assist infrastructure engineers in making more informed network planning and design related decisions.

Original language	English
Title of host publication	Proc. International Conference on Pipelines and Trenchless Technology 2009, ICPTT 2009
Subtitle of host publication	Advances and Experiences with Pipelines and Trenchless Technology for Water, Sewer, Gas, and Oil Applications
Pages	389-400
Number of pages	12
Volume	361
DOIs	https://doi.org/10.1061/41073(361)41
Publication status	Published - 22 Dec 2009
Externally published	Yes
Event	International Conference on Pipelines and Trenchless Technology 2009, ICPTT 2009: Advances and Experiences with Pipelines and Trenchless Technology for Water, Sewer, Gas, and Oil Applications - Shanghai, China Duration: 18 Oct 2009 → 21 Oct 2009

Conference

Conference	International Conference on Pipelines and Trenchless Technology 2009, ICPTT 2009: Advances and Experiences with Pipelines and Trenchless Technology for Water, Sewer, Gas, and Oil Applications
Country/Territory	China
City	Shanghai
Period	18/10/09 → 21/10/09

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Civil and Structural Engineering

More information

10.1061/41073(361)41

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Khan, Z., Zayed, T., & Moselhi, O. (2009). Stochastic analysis of factors affecting sewer network operational condition. In Proc. International Conference on Pipelines and Trenchless Technology 2009, ICPTT 2009: Advances and Experiences with Pipelines and Trenchless Technology for Water, Sewer, Gas, and Oil Applications (Vol. 361, pp. 389-400) https://doi.org/10.1061/41073(361)41

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booktitle = "Proc. International Conference on Pipelines and Trenchless Technology 2009, ICPTT 2009",

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Khan, Z, Zayed, T & Moselhi, O 2009, Stochastic analysis of factors affecting sewer network operational condition. in Proc. International Conference on Pipelines and Trenchless Technology 2009, ICPTT 2009: Advances and Experiences with Pipelines and Trenchless Technology for Water, Sewer, Gas, and Oil Applications. vol. 361, pp. 389-400, International Conference on Pipelines and Trenchless Technology 2009, ICPTT 2009: Advances and Experiences with Pipelines and Trenchless Technology for Water, Sewer, Gas, and Oil Applications, Shanghai, China, 18/10/09. https://doi.org/10.1061/41073(361)41

Stochastic analysis of factors affecting sewer network operational condition. / Khan, Z.; Zayed, Tarek; Moselhi, O.
Proc. International Conference on Pipelines and Trenchless Technology 2009, ICPTT 2009: Advances and Experiences with Pipelines and Trenchless Technology for Water, Sewer, Gas, and Oil Applications. Vol. 361 2009. p. 389-400.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Stochastic analysis of factors affecting sewer network operational condition

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