Technical Papers
Jun 28, 2019

Bridge-Block Partitioning Algorithm for Speeding Up Analysis of Water Distribution Systems

Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 9

Abstract

Many water distribution system (WDS) solution methods have been developed to perform demand-driven steady-state analysis. These methods are used to solve the nonlinear system of equations that model a WDS. WDS networks have structural properties that can often be exploited to speed up these solution methods. One solution method that exploits these structural properties is the forest-core partitioning algorithm that was proposed as a preprocessing and postprocessing method that can be used to separate the network into a linear forest component and a nonlinear core component. This paper presents a complementary method for preprocessing and postprocessing called the bridge-block partitioning algorithm (BBPA). This method further partitions the core component of the network into a number of linear bridge components and a number of nonlinear block components. The use of BBPA to partition a WDS network provides significant advantages over current solution methods in terms of both speed and solution reliability.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 145Issue 9September 2019

History

Received: May 2, 2018
Accepted: Dec 12, 2018
Published online: Jun 28, 2019
Published in print: Sep 1, 2019
Discussion open until: Nov 28, 2019

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Authors

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Ph.D. Student, School of Civil, Environmental, and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia (corresponding author). ORCID: https://orcid.org/0000-0001-8971-2570. Email: [email protected]
Angus R. Simpson, M.ASCE
Professor, School of Civil, Environmental, and Mining Engineering, Univ. of Adelaide, Adelaide, SA 5005, Australia.
Visiting Research Fellow, School of Computer Science, Univ. of Adelaide, Adelaide, SA 5005, Australia. ORCID: https://orcid.org/0000-0003-3440-556X
Bradley Alexander
Senior Lecturer, School of Computer Science, Univ. of Adelaide, Adelaide, SA 5005, Australia.

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