Technical Papers
Jan 30, 2019

Impedance Estimation along Pipelines by Generalized Reconstructive Method of Characteristics for Pipeline Condition Assessment

Publication: Journal of Hydraulic Engineering
Volume 145, Issue 4

Abstract

Reliable and efficient pipeline condition assessment in water transmission mains is required to locate deteriorated sections, such that water authorities can rehabilitate or replace vulnerable sections to prevent pipe failure. In this paper, a novel method is developed to estimate pipeline impedance and pipeline wall thickness through hydraulic transient testing. The recently developed reconstructive method of characteristics (RMOC) algorithm is generalized in the current research by relaxing the requirement of a dead-end boundary. Instead, the generalized RMOC as proposed requires two adjacent pressure transducers placed at any interior locations along a pipe to record head variations in a controlled transient event. The parameters along the pipeline can be analytically determined though the smart use of a method of characteristics (MOC) analysis backwards in time. The configuration required by the proposed method makes it applicable in the real world. The proposed approach is first verified by a numerical experiment, where three sections with different wall thicknesses (representing deteriorated sections) are successfully identified. The new technique is then verified by a laboratory experiment, where wall thickness and location of two sections with wall class changes are identified.

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Acknowledgments

The research presented in this paper was supported by the Australia Research Council through Discovery Project Grant No. DP140100994. The first author thanks the Chinese Scholarship Council and the University of Adelaide for providing a joint postgraduate scholarship.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 145Issue 4April 2019

History

Received: Feb 14, 2018
Accepted: Sep 26, 2018
Published online: Jan 30, 2019
Published in print: Apr 1, 2019
Discussion open until: Jun 30, 2019

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Authors

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Ph.D. Candidate, School of Civil and Environmental Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia. Email: [email protected]
Jinzhe Gong [email protected]
Postdoctoral Research Fellow, School of Civil and Environmental Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia. Email: [email protected]
Angus R. Simpson, M.ASCE [email protected]
Professor, School of Civil and Environmental Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia. Email: [email protected]
Aaron C. Zecchin [email protected]
Senior Lecturer, School of Civil and Environmental Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia. Email: [email protected]
Martin F. Lambert, A.M.ASCE [email protected]
Professor, School of Civil and Environmental Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia (corresponding author). Email: [email protected]

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