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An Overview of the Numerical Approaches to Water Hammer Modelling: The Ongoing Quest for Practical and Accurate Numerical Approaches

Journal

WATER
Volume 13, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/w13111597

Keywords

water hammer; computational fluid dynamics; MOC; FDM; FVM; pipe network

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This paper summarizes recent developments in key numerical approaches to water hammer modeling, focusing on the use of finite volume methods for accurate and efficient transient modeling. The Godunov scheme, first advanced in the FVM, is shown to be superior to the MOC in accuracy and computational speed. Further advancements in FVM schemes continue to improve the speed and accuracy of transient modeling in specific applications such as fault detection.
Here, recent developments in the key numerical approaches to water hammer modelling are summarized and critiqued. This paper summarizes one-dimensional modelling using the finite difference method (FDM), the method of characteristics (MOC), and especially the more recent finite volume method (FVM). The discussion is briefly extended to two-dimensional modelling, as well as to computational fluid dynamics (CFD) approaches. Finite volume methods are of particular note, since they approximate the governing partial differential equations (PDEs) in a volume integral form, thus intrinsically conserving mass and momentum fluxes. Accuracy in transient modelling is particularly important in certain (typically more nuanced) applications, including fault (leakage and blockage) detection. The FVM, first advanced using Godunov's scheme, is preferred in cases where wave celerity evolves over time (e.g., due to the release of air) or due to spatial changes (e.g., due to changes in wall thickness). Both numerical and experimental studies demonstrate that the first-order Godunov's scheme compares favourably with the MOC in terms of accuracy and computational speed; with further advances in the FVM schemes, it progressively achieves faster and more accurate codes. The current range of numerical methods is discussed and illustrated, including highlighting both their limitations and their advantages.

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