Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/116591
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Leak detection in a branched system by inverse transient analysis with the admittance matrix method
Author: Capponi, C.
Ferrante, M.
Zecchin, A.
Gong, J.
Citation: Water Resources Management, 2017; 31(13):4075-4089
Publisher: Springer
Issue Date: 2017
ISSN: 0920-4741
1573-1650
Statement of
Responsibility: 
Caterina Capponi, Marco Ferrante, Aaron C. Zecchin, Jinzhe Gong
Abstract: The diagnosis of water distribution systems by means of the inverse transient analysis requires efficient and reliable numerical models. In the network admittance matrix method (NAMM) the 1-D waterhammer governing equations are integrated in the frequency domain and organized in a laplacian matrix form. The NAMM is particularly suitable for complex systems because of this structure and can be used for the system diagnosis, including leak sizing and location. In this paper a damaged branched system is considered and the diagnosis is performed by means of the NAMM using experimental data from laboratory transient tests. Two different boundary conditions are used in the implementation of the NAMM and the leak is located and sized with a reasonable approximation. An extended numerical investigation is also presented and allows confirmation of the results for different leak locations. The use of the NAMM for the leak detection and the validation using experimental data on a branched system are the main original contributions of this work. The successful diagnosis indicates promising results for applications in more complex systems.
Keywords: Branched system; diagnosis; frequency domain; leak; transients; water distribution systems
Rights: © Springer Science+Business Media Dordrecht 2017
RMID: 0030071965
DOI: 10.1007/s11269-017-1730-6
Appears in Collections:Civil and Environmental Engineering publications

Files in This Item:
File Description SizeFormat 
hdl_116591.pdfAccepted version578.83 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.