Deterioration Modeling and Failure Analysis of Water Distribution Networks

Thikra Dawood; Emad Elwakil; Hector Mayol Novoa; Jose Fernando Garate Delgado

doi:10.1109/SusTech53338.2022.9794138

Deterioration Modeling and Failure Analysis of Water Distribution Networks

Thikra Dawood, Emad Elwakil, Hector Mayol Novoa, Jose Fernando Garate Delgado

Departamento Académico de Ingeniería Civil

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

Abstract

This paper presents a novel framework for the deterioration modeling in conjunction with quantifying the water network's failure index. It involves developing a method and an intelligent model using Monte Carlo Simulation to estimate the deterioration indices (DIs) of watermains through intricate iterative simulations. The developed method is implemented on the water system of the City of El Pedregal in Peru. The efficacy of this framework has been verified against the multiple linear regression (MLR) method and proved to be sound. The developed framework provides insights for infrastructure managers in the aspects of, when to intervene, what to maintain, replace, or rehabilitate.

Original language	English
Title of host publication	2022 IEEE Conference on Technologies for Sustainability, SusTech 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	150-153
Number of pages	4
ISBN (Electronic)	9781665406642
DOIs	https://doi.org/10.1109/SusTech53338.2022.9794138
State	Published - 2022
Event	9th Annual IEEE Conference on Technologies for Sustainability, SusTech 2022 - Virtual, Online, United States Duration: 21 Apr 2022 → 22 Apr 2022

Publication series

Name	2022 IEEE Conference on Technologies for Sustainability, SusTech 2022

Conference

Conference	9th Annual IEEE Conference on Technologies for Sustainability, SusTech 2022
Country/Territory	United States
City	Virtual, Online
Period	21/04/22 → 22/04/22

Bibliographical note

Funding Information:
This work is supported by the collaboration of the Universidad Nacional de San Agust n (UNSA) in Arequipa, Peru, and Purdue University in Indiana, USA, through Discovery Park's Center for the Environment (C4E).

Publisher Copyright:
© 2022 IEEE.

Keywords

Deterioration
Infrastructure
modeling
Pipe failure
risk
Water distribution networks

UN SDGs

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

Access to Document

10.1109/SusTech53338.2022.9794138

Cite this

Dawood, T., Elwakil, E., Novoa, H. M., & Delgado, J. F. G. (2022). Deterioration Modeling and Failure Analysis of Water Distribution Networks. In 2022 IEEE Conference on Technologies for Sustainability, SusTech 2022 (pp. 150-153). (2022 IEEE Conference on Technologies for Sustainability, SusTech 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SusTech53338.2022.9794138

@inproceedings{7eb6e271d3b2474484478d16bad0ac71,

title = "Deterioration Modeling and Failure Analysis of Water Distribution Networks",

abstract = "This paper presents a novel framework for the deterioration modeling in conjunction with quantifying the water network's failure index. It involves developing a method and an intelligent model using Monte Carlo Simulation to estimate the deterioration indices (DIs) of watermains through intricate iterative simulations. The developed method is implemented on the water system of the City of El Pedregal in Peru. The efficacy of this framework has been verified against the multiple linear regression (MLR) method and proved to be sound. The developed framework provides insights for infrastructure managers in the aspects of, when to intervene, what to maintain, replace, or rehabilitate.",

keywords = "Deterioration, Infrastructure, modeling, Pipe failure, risk, Water distribution networks",

author = "Thikra Dawood and Emad Elwakil and Novoa, {Hector Mayol} and Delgado, {Jose Fernando Garate}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; null ; Conference date: 21-04-2022 Through 22-04-2022",

year = "2022",

doi = "10.1109/SusTech53338.2022.9794138",

language = "Ingl{\'e}s",

series = "2022 IEEE Conference on Technologies for Sustainability, SusTech 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "150--153",

booktitle = "2022 IEEE Conference on Technologies for Sustainability, SusTech 2022",

address = "Estados Unidos",

}

Dawood, T, Elwakil, E, Novoa, HM & Delgado, JFG 2022, Deterioration Modeling and Failure Analysis of Water Distribution Networks. in 2022 IEEE Conference on Technologies for Sustainability, SusTech 2022. 2022 IEEE Conference on Technologies for Sustainability, SusTech 2022, Institute of Electrical and Electronics Engineers Inc., pp. 150-153, 9th Annual IEEE Conference on Technologies for Sustainability, SusTech 2022, Virtual, Online, United States, 21/04/22. https://doi.org/10.1109/SusTech53338.2022.9794138

Deterioration Modeling and Failure Analysis of Water Distribution Networks. / Dawood, Thikra; Elwakil, Emad; Novoa, Hector Mayol et al.

2022 IEEE Conference on Technologies for Sustainability, SusTech 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 150-153 (2022 IEEE Conference on Technologies for Sustainability, SusTech 2022).

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

TY - GEN

T1 - Deterioration Modeling and Failure Analysis of Water Distribution Networks

AU - Dawood, Thikra

AU - Elwakil, Emad

AU - Novoa, Hector Mayol

AU - Delgado, Jose Fernando Garate

PY - 2022

Y1 - 2022

N2 - This paper presents a novel framework for the deterioration modeling in conjunction with quantifying the water network's failure index. It involves developing a method and an intelligent model using Monte Carlo Simulation to estimate the deterioration indices (DIs) of watermains through intricate iterative simulations. The developed method is implemented on the water system of the City of El Pedregal in Peru. The efficacy of this framework has been verified against the multiple linear regression (MLR) method and proved to be sound. The developed framework provides insights for infrastructure managers in the aspects of, when to intervene, what to maintain, replace, or rehabilitate.

AB - This paper presents a novel framework for the deterioration modeling in conjunction with quantifying the water network's failure index. It involves developing a method and an intelligent model using Monte Carlo Simulation to estimate the deterioration indices (DIs) of watermains through intricate iterative simulations. The developed method is implemented on the water system of the City of El Pedregal in Peru. The efficacy of this framework has been verified against the multiple linear regression (MLR) method and proved to be sound. The developed framework provides insights for infrastructure managers in the aspects of, when to intervene, what to maintain, replace, or rehabilitate.

KW - Deterioration

KW - Infrastructure

KW - modeling

KW - Pipe failure

KW - risk

KW - Water distribution networks

UR - http://www.scopus.com/inward/record.url?scp=85133445567&partnerID=8YFLogxK

U2 - 10.1109/SusTech53338.2022.9794138

DO - 10.1109/SusTech53338.2022.9794138

M3 - Contribución a la conferencia

AN - SCOPUS:85133445567

T3 - 2022 IEEE Conference on Technologies for Sustainability, SusTech 2022

SP - 150

EP - 153

BT - 2022 IEEE Conference on Technologies for Sustainability, SusTech 2022

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 21 April 2022 through 22 April 2022

ER -

Dawood T, Elwakil E, Novoa HM, Delgado JFG. Deterioration Modeling and Failure Analysis of Water Distribution Networks. In 2022 IEEE Conference on Technologies for Sustainability, SusTech 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 150-153. (2022 IEEE Conference on Technologies for Sustainability, SusTech 2022). https://doi.org/10.1109/SusTech53338.2022.9794138

Deterioration Modeling and Failure Analysis of Water Distribution Networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this