A Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe

In this paper the results of an experimental validation of a technique for leak detection in polymeric pipes based on the inverse transient analysis (ITA) are presented. In the proposed ITA the Nelder–Mead algorithm is used as a calibration tool. Experimental tests have been carried out in an intact...

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Autores principales: Oussama Choura, Caterina Capponi, Silvia Meniconi, Sami Elaoud, Bruno Brunone
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Publicado: IWA Publishing 2021
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Acceso en línea:https://doaj.org/article/a45990b7329a42e0bab8ae53140c4855
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spelling oai:doaj.org-article:a45990b7329a42e0bab8ae53140c48552021-11-06T07:15:13ZA Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe1606-97491607-079810.2166/ws.2021.030https://doaj.org/article/a45990b7329a42e0bab8ae53140c48552021-06-01T00:00:00Zhttp://ws.iwaponline.com/content/21/4/1580https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798In this paper the results of an experimental validation of a technique for leak detection in polymeric pipes based on the inverse transient analysis (ITA) are presented. In the proposed ITA the Nelder–Mead algorithm is used as a calibration tool. Experimental tests have been carried out in an intact and leaky high-density polyethylene (HDPE) single pipe installed at the Water Engineering Laboratory (WEL) of the University of Perugia, Italy. Transients have been generated by the fast and complete closure of a valve placed at the downstream end section of the pipe. In the first phase of the calibration procedure, the proposed algorithm has been used to estimate both the viscoelastic parameters of a generalized Kelvin–Voigt model and the unsteady-state friction coefficient, by minimizing the difference between the numerical and experimental results. In the second phase of the procedure, the calibrated model allowed the evaluation of leak size and location with an acceptable accuracy. Precisely, in terms of leak location the relative error was smaller than 5%. HIGHLIGHTS An inverse transient analysis, based on the Nelder–Mead algorithm and laboratory data, is used for viscoelastic parameter estimation of polymeric pipes.; The same approach is followed for evaluating leak location and size.; The effect of several parameters, such as the unsteady-state friction, the length in time of the pressure signal, and the location and number of the measurement sections is analyzed.;Oussama ChouraCaterina CapponiSilvia MeniconiSami ElaoudBruno BrunoneIWA Publishingarticleinverse transient analysisleak detectionnelder–mead algorithmunsteady-state frictionviscoelasticityWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 4, Pp 1580-1593 (2021)
institution DOAJ
collection DOAJ
language EN
topic inverse transient analysis
leak detection
nelder–mead algorithm
unsteady-state friction
viscoelasticity
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
spellingShingle inverse transient analysis
leak detection
nelder–mead algorithm
unsteady-state friction
viscoelasticity
Water supply for domestic and industrial purposes
TD201-500
River, lake, and water-supply engineering (General)
TC401-506
Oussama Choura
Caterina Capponi
Silvia Meniconi
Sami Elaoud
Bruno Brunone
A Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe
description In this paper the results of an experimental validation of a technique for leak detection in polymeric pipes based on the inverse transient analysis (ITA) are presented. In the proposed ITA the Nelder–Mead algorithm is used as a calibration tool. Experimental tests have been carried out in an intact and leaky high-density polyethylene (HDPE) single pipe installed at the Water Engineering Laboratory (WEL) of the University of Perugia, Italy. Transients have been generated by the fast and complete closure of a valve placed at the downstream end section of the pipe. In the first phase of the calibration procedure, the proposed algorithm has been used to estimate both the viscoelastic parameters of a generalized Kelvin–Voigt model and the unsteady-state friction coefficient, by minimizing the difference between the numerical and experimental results. In the second phase of the procedure, the calibrated model allowed the evaluation of leak size and location with an acceptable accuracy. Precisely, in terms of leak location the relative error was smaller than 5%. HIGHLIGHTS An inverse transient analysis, based on the Nelder–Mead algorithm and laboratory data, is used for viscoelastic parameter estimation of polymeric pipes.; The same approach is followed for evaluating leak location and size.; The effect of several parameters, such as the unsteady-state friction, the length in time of the pressure signal, and the location and number of the measurement sections is analyzed.;
format article
author Oussama Choura
Caterina Capponi
Silvia Meniconi
Sami Elaoud
Bruno Brunone
author_facet Oussama Choura
Caterina Capponi
Silvia Meniconi
Sami Elaoud
Bruno Brunone
author_sort Oussama Choura
title A Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe
title_short A Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe
title_full A Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe
title_fullStr A Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe
title_full_unstemmed A Nelder–Mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe
title_sort nelder–mead algorithm-based inverse transient analysis for leak detection and sizing in a single pipe
publisher IWA Publishing
publishDate 2021
url https://doaj.org/article/a45990b7329a42e0bab8ae53140c4855
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