Prediction of the probabilistic water leak location in underground pipelines using Monte Carlo simulation
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.2166/wpt.2023.026 http://hdl.handle.net/11449/247176 |
Resumo: | The water loss rates in Brazil are still very concerning and cause huge financial, social, and environmental damages. Although great advances have been made in acoustic leak detection methods, some of them are intrusive or at least demand convenient access points to the pipe’s surface. Furthermore, some methods are expensive and require a highly experienced and qualified operator. Thus, the goal of this paper is to establish a benchmark using a simplistic analytical model for the ground surface analysis for leaks location, simplifying the search process carried out in water networks, and requiring minimal system inter-ference. For leak location prediction, the proposed method considered two seismic wave paths – the compressional body waves and the Rayleigh superficial waves. The traveltime curves of the compressional waves are calculated as a function of the surface wave’s experimental information. Monte Carlo Simulations were carried out to test each model’s precision consid-ering uncertainties related to the input parameters of the problem. At last, through a parametric study, the two seismic events were combined to obtain better accuracy in predicting the leakage epicenter location. In the results, the maximum absolute error found was 15 cm, and the minimum improvement obtained with the parametric study was 27.4%. |
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Repositório Institucional da UNESP |
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Prediction of the probabilistic water leak location in underground pipelines using Monte Carlo simulationleak locationMonte Carlo simulationvibrationswaves propagationThe water loss rates in Brazil are still very concerning and cause huge financial, social, and environmental damages. Although great advances have been made in acoustic leak detection methods, some of them are intrusive or at least demand convenient access points to the pipe’s surface. Furthermore, some methods are expensive and require a highly experienced and qualified operator. Thus, the goal of this paper is to establish a benchmark using a simplistic analytical model for the ground surface analysis for leaks location, simplifying the search process carried out in water networks, and requiring minimal system inter-ference. For leak location prediction, the proposed method considered two seismic wave paths – the compressional body waves and the Rayleigh superficial waves. The traveltime curves of the compressional waves are calculated as a function of the surface wave’s experimental information. Monte Carlo Simulations were carried out to test each model’s precision consid-ering uncertainties related to the input parameters of the problem. At last, through a parametric study, the two seismic events were combined to obtain better accuracy in predicting the leakage epicenter location. In the results, the maximum absolute error found was 15 cm, and the minimum improvement obtained with the parametric study was 27.4%.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Department of Mechanical Engineering School of Engineering São Paulo State University (UNESP), SPDepartment of Mechanical Engineering School of Engineering São Paulo State University (UNESP), SPUniversidade Estadual Paulista (UNESP)Proença, Matheus [UNESP]Paschoalini, Amarildo T. [UNESP]Obata, Daniel H. S. [UNESP]2023-07-29T13:08:25Z2023-07-29T13:08:25Z2023-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article522-535http://dx.doi.org/10.2166/wpt.2023.026Water Practice and Technology, v. 18, n. 3, p. 522-535, 2023.1751-231Xhttp://hdl.handle.net/11449/24717610.2166/wpt.2023.0262-s2.0-85152622893Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengWater Practice and Technologyinfo:eu-repo/semantics/openAccess2023-07-29T13:08:25Zoai:repositorio.unesp.br:11449/247176Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T13:08:25Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Prediction of the probabilistic water leak location in underground pipelines using Monte Carlo simulation |
title |
Prediction of the probabilistic water leak location in underground pipelines using Monte Carlo simulation |
spellingShingle |
Prediction of the probabilistic water leak location in underground pipelines using Monte Carlo simulation Proença, Matheus [UNESP] leak location Monte Carlo simulation vibrations waves propagation |
title_short |
Prediction of the probabilistic water leak location in underground pipelines using Monte Carlo simulation |
title_full |
Prediction of the probabilistic water leak location in underground pipelines using Monte Carlo simulation |
title_fullStr |
Prediction of the probabilistic water leak location in underground pipelines using Monte Carlo simulation |
title_full_unstemmed |
Prediction of the probabilistic water leak location in underground pipelines using Monte Carlo simulation |
title_sort |
Prediction of the probabilistic water leak location in underground pipelines using Monte Carlo simulation |
author |
Proença, Matheus [UNESP] |
author_facet |
Proença, Matheus [UNESP] Paschoalini, Amarildo T. [UNESP] Obata, Daniel H. S. [UNESP] |
author_role |
author |
author2 |
Paschoalini, Amarildo T. [UNESP] Obata, Daniel H. S. [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Proença, Matheus [UNESP] Paschoalini, Amarildo T. [UNESP] Obata, Daniel H. S. [UNESP] |
dc.subject.por.fl_str_mv |
leak location Monte Carlo simulation vibrations waves propagation |
topic |
leak location Monte Carlo simulation vibrations waves propagation |
description |
The water loss rates in Brazil are still very concerning and cause huge financial, social, and environmental damages. Although great advances have been made in acoustic leak detection methods, some of them are intrusive or at least demand convenient access points to the pipe’s surface. Furthermore, some methods are expensive and require a highly experienced and qualified operator. Thus, the goal of this paper is to establish a benchmark using a simplistic analytical model for the ground surface analysis for leaks location, simplifying the search process carried out in water networks, and requiring minimal system inter-ference. For leak location prediction, the proposed method considered two seismic wave paths – the compressional body waves and the Rayleigh superficial waves. The traveltime curves of the compressional waves are calculated as a function of the surface wave’s experimental information. Monte Carlo Simulations were carried out to test each model’s precision consid-ering uncertainties related to the input parameters of the problem. At last, through a parametric study, the two seismic events were combined to obtain better accuracy in predicting the leakage epicenter location. In the results, the maximum absolute error found was 15 cm, and the minimum improvement obtained with the parametric study was 27.4%. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T13:08:25Z 2023-07-29T13:08:25Z 2023-03-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.2166/wpt.2023.026 Water Practice and Technology, v. 18, n. 3, p. 522-535, 2023. 1751-231X http://hdl.handle.net/11449/247176 10.2166/wpt.2023.026 2-s2.0-85152622893 |
url |
http://dx.doi.org/10.2166/wpt.2023.026 http://hdl.handle.net/11449/247176 |
identifier_str_mv |
Water Practice and Technology, v. 18, n. 3, p. 522-535, 2023. 1751-231X 10.2166/wpt.2023.026 2-s2.0-85152622893 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Water Practice and Technology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
522-535 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965061273354240 |