Technical Papers
Mar 30, 2019

Internal Pipe Area Reconstruction as a Tool for Blockage Detection

Publication: Journal of Hydraulic Engineering
Volume 145, Issue 6

Abstract

Several pipeline blockage detection methods assume blockages have a regular geometric shape; that is, the blocked section is a pipe of smaller diameter than the original. These methods require a priori knowledge of the number of blockages in the pipeline. Restricting blockages to such special forms also raises identification issues such as nonuniqueness, nonconvergence, and computational inefficiencies. This paper develops a detection method that does not assume regularly shaped blockages and that reconstructs an internal pipe area of unconstrained form. The mathematical and physical bases of the proposed method are described, and a step-by-step solution algorithm is provided. A numerical example of a pipe with irregular blockages is considered to test the performance of the method. It is found that the proposed method accurately identifies multiple blockages of arbitrary shapes and sizes at a relatively low computational cost. The described method is compared with a method for area reconstruction as well as a method for blockage characteristic identification. The proposed method is shown to be more accurate and efficient than the other methods.

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Acknowledgments

This research is funded by the postgraduate studentship and by the Research Grant Council of the Hong Kong SAR, China [Project No. T21-602/15R, Smart Urban Water Supply Systems (Smart UWSS) and project No. 16203417]. The authors thank Prof. D. A. McInnis for the editorial suggestions.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 145Issue 6June 2019

History

Received: Jan 10, 2018
Accepted: Nov 21, 2018
Published online: Mar 30, 2019
Published in print: Jun 1, 2019
Discussion open until: Aug 30, 2019

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Authors

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Fedi Zouari [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Kowloon, Hong Kong (corresponding author). Email: [email protected]; [email protected]
Emilia Blåsten [email protected]
Postdoctoral Fellow, Jockey Club Institute for Advanced Study, Hong Kong Univ. of Science and Technology, Kowloon, Hong Kong. Email: [email protected]
Moez Louati [email protected]
Research Assistant Professor, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Kowloon, Hong Kong. Email: [email protected]
Mohamed Salah Ghidaoui, M.ASCE [email protected]
Chair Professor and Chinese Estates Professor of Engineering, Dept. of Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Kowloon, Hong Kong. Email: [email protected]

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