Integration of geographic information system and probabilistic analysis for optimized pipe infrastructure decisions

Jackson Kong; Michael Martin; Ian D. Moore; H. P. Hong

doi:10.1061/40994(321)59

Integration of geographic information system and probabilistic analysis for optimized pipe infrastructure decisions

Jackson Kong^*
, Michael Martin
, Ian D. Moore
, H. P. Hong

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings of Pipelines Congress 2008 - Pipeline Asset Management
Subtitle of host publication	Maximizing Performance of Our Pipeline Infrastructure
Publisher	ASCE - American Society of Civil Engineers
ISBN (Print)	9780784409947
DOIs	https://doi.org/10.1061/40994(321)59
State	Published - 2008
Externally published	Yes
Event	Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure - Atlanta, GA, United States Duration: 22 Jul 2008 → 28 Jul 2008

Publication series

Name	Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure
Volume	321

Conference

Conference	Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure
Country/Territory	United States
City	Atlanta, GA
Period	22/07/08 → 28/07/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1061/40994(321)59

Cite this

Kong, J., Martin, M., Moore, I. D., & Hong, H. P. (2008). Integration of geographic information system and probabilistic analysis for optimized pipe infrastructure decisions. In Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure (Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure; Vol. 321). ASCE - American Society of Civil Engineers. https://doi.org/10.1061/40994(321)59

Kong, Jackson ; Martin, Michael ; Moore, Ian D. et al. / Integration of geographic information system and probabilistic analysis for optimized pipe infrastructure decisions. Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure. ASCE - American Society of Civil Engineers, 2008. (Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure).

@inproceedings{528c1df5c57a462e926423e9017bca1d,

title = "Integration of geographic information system and probabilistic analysis for optimized pipe infrastructure decisions",

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.",

author = "Jackson Kong and Michael Martin and Moore, \{Ian D.\} and Hong, \{H. P.\}",

year = "2008",

doi = "10.1061/40994(321)59",

language = "英语",

isbn = "9780784409947",

series = "Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure",

publisher = "ASCE - American Society of Civil Engineers",

booktitle = "Proceedings of Pipelines Congress 2008 - Pipeline Asset Management",

note = "Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure ; Conference date: 22-07-2008 Through 28-07-2008",

}

Kong, J, Martin, M, Moore, ID & Hong, HP 2008, Integration of geographic information system and probabilistic analysis for optimized pipe infrastructure decisions. in Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure. Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure, vol. 321, ASCE - American Society of Civil Engineers, Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure, Atlanta, GA, United States, 22/07/08. https://doi.org/10.1061/40994(321)59

Integration of geographic information system and probabilistic analysis for optimized pipe infrastructure decisions. / Kong, Jackson; Martin, Michael; Moore, Ian D. et al.
Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure. ASCE - American Society of Civil Engineers, 2008. (Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure; Vol. 321).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Moore, Ian D.

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N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/70349400084

U2 - 10.1061/40994(321)59

DO - 10.1061/40994(321)59

M3 - 会议稿件

AN - SCOPUS:70349400084

SN - 9780784409947

T3 - Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure

BT - Proceedings of Pipelines Congress 2008 - Pipeline Asset Management

PB - ASCE - American Society of Civil Engineers

T2 - Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure

Y2 - 22 July 2008 through 28 July 2008

ER -

Kong J, Martin M, Moore ID, Hong HP. Integration of geographic information system and probabilistic analysis for optimized pipe infrastructure decisions. In Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure. ASCE - American Society of Civil Engineers. 2008. (Proceedings of Pipelines Congress 2008 - Pipeline Asset Management: Maximizing Performance of Our Pipeline Infrastructure). doi: 10.1061/40994(321)59

Integration of geographic information system and probabilistic analysis for optimized pipe infrastructure decisions

Abstract

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UN SDGs

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