Determining redundancy in water distribution networks using percolation method in simulating pipe failure during a seismic event

Water distribution networks are the lifeline of civil society, and the disruption of these lifelines due to inevitable disasters like an earthquake can threaten and affect the community's overall well-being. Thus studying the pipelines in earthquake-prone areas is of utmost importance. In this...

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Main Author: Gonzales, Alfredo Miguel P.
Format: text
Language:English
Published: Animo Repository 2022
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Online Access:https://animorepository.dlsu.edu.ph/etdb_civ/7
https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1009&context=etdb_civ
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etdb_civ-10092022-12-20T05:49:09Z Determining redundancy in water distribution networks using percolation method in simulating pipe failure during a seismic event Gonzales, Alfredo Miguel P. Water distribution networks are the lifeline of civil society, and the disruption of these lifelines due to inevitable disasters like an earthquake can threaten and affect the community's overall well-being. Thus studying the pipelines in earthquake-prone areas is of utmost importance. In this regard, analyzing water distribution networks under failure conditions has long been a popular topic in order to predict the reliability of these buried pipes during an earthquake. Consequently, the redundancy of a system is related to its reliability, meaning improving the redundancy can enhance the system's reliability. By measuring the redundancy, researchers can gain insight into the vulnerability of a particular lifeline system when an earthquake happens. Therefore it is appropriate to measure the redundancy of a system to help mitigate seismic risk on lifeline structures. Based on Hoshiya et al. (2004), the Redundancy Index RE defined via Shannon's information entropy can be an index to represent the redundancy of a system. Wherein it plays a crucial role in choosing the best alternative for designing a system or in finding the best damage mitigation measure against earthquake hazards by utilizing specific simulation methods such as the Monte Carlo simulation. However, this paper uses a new approach to analyze these water distribution networks. This was done by investigating the failure process of a network using Percolation Theory. In this new view, a network failure can be regarded as a percolation process by gradually removing links in the system to simulate a link failure event. To test the proposed methodology, the Monte Carlo simulation and the Percolation method were applied to a published water distribution network, specifically the Kobe Network, and a hypothetical water network. The Percolation method was found to be a viable alternative to the Monte Carlo simulation in measuring the redundancy of a lifeline network because it adheres to the system's general logic. Accordingly, the Percolation method can correctly simulate an earthquake occurrence and generate accurate Redundancy Index (RE) values. 2022-11-01T07:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etdb_civ/7 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1009&context=etdb_civ Civil Engineering Bachelor's Theses English Animo Repository Lifeline earthquake engineering Pipeline failures Water—Distribution Water-pipes—Monitoring Civil Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Lifeline earthquake engineering
Pipeline failures
Water—Distribution
Water-pipes—Monitoring
Civil Engineering
spellingShingle Lifeline earthquake engineering
Pipeline failures
Water—Distribution
Water-pipes—Monitoring
Civil Engineering
Gonzales, Alfredo Miguel P.
Determining redundancy in water distribution networks using percolation method in simulating pipe failure during a seismic event
description Water distribution networks are the lifeline of civil society, and the disruption of these lifelines due to inevitable disasters like an earthquake can threaten and affect the community's overall well-being. Thus studying the pipelines in earthquake-prone areas is of utmost importance. In this regard, analyzing water distribution networks under failure conditions has long been a popular topic in order to predict the reliability of these buried pipes during an earthquake. Consequently, the redundancy of a system is related to its reliability, meaning improving the redundancy can enhance the system's reliability. By measuring the redundancy, researchers can gain insight into the vulnerability of a particular lifeline system when an earthquake happens. Therefore it is appropriate to measure the redundancy of a system to help mitigate seismic risk on lifeline structures. Based on Hoshiya et al. (2004), the Redundancy Index RE defined via Shannon's information entropy can be an index to represent the redundancy of a system. Wherein it plays a crucial role in choosing the best alternative for designing a system or in finding the best damage mitigation measure against earthquake hazards by utilizing specific simulation methods such as the Monte Carlo simulation. However, this paper uses a new approach to analyze these water distribution networks. This was done by investigating the failure process of a network using Percolation Theory. In this new view, a network failure can be regarded as a percolation process by gradually removing links in the system to simulate a link failure event. To test the proposed methodology, the Monte Carlo simulation and the Percolation method were applied to a published water distribution network, specifically the Kobe Network, and a hypothetical water network. The Percolation method was found to be a viable alternative to the Monte Carlo simulation in measuring the redundancy of a lifeline network because it adheres to the system's general logic. Accordingly, the Percolation method can correctly simulate an earthquake occurrence and generate accurate Redundancy Index (RE) values.
format text
author Gonzales, Alfredo Miguel P.
author_facet Gonzales, Alfredo Miguel P.
author_sort Gonzales, Alfredo Miguel P.
title Determining redundancy in water distribution networks using percolation method in simulating pipe failure during a seismic event
title_short Determining redundancy in water distribution networks using percolation method in simulating pipe failure during a seismic event
title_full Determining redundancy in water distribution networks using percolation method in simulating pipe failure during a seismic event
title_fullStr Determining redundancy in water distribution networks using percolation method in simulating pipe failure during a seismic event
title_full_unstemmed Determining redundancy in water distribution networks using percolation method in simulating pipe failure during a seismic event
title_sort determining redundancy in water distribution networks using percolation method in simulating pipe failure during a seismic event
publisher Animo Repository
publishDate 2022
url https://animorepository.dlsu.edu.ph/etdb_civ/7
https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1009&context=etdb_civ
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