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The numerical development of MOC for analyzing the inclined pipelines using the experimental network of Babol Noshirvani University as a case study
Author(s) -
Saeid Mohammadzade Negharchi,
Rouzbeh Shafaghat
Publication year - 2021
Publication title -
journal of water supply research and technology—aqua
Language(s) - English
Resource type - Journals
eISSN - 1606-9935
pISSN - 1605-3974
DOI - 10.2166/aqua.2021.002
Subject(s) - transient (computer programming) , intensity (physics) , pipeline transport , calibration , software , event (particle physics) , computer science , code (set theory) , simulation , mechanics , algorithm , mathematics , engineering , statistics , physics , mechanical engineering , optics , quantum mechanics , operating system , programming language , set (abstract data type)
Despite the applications of the Method of Characteristics (MOC) for analyzing the unsteady flows, using this method in networks with variable elevations still has many challenges. In this paper, by developing modified correlations as a computer code, the possibility of analyzing inclined pipelines has been evaluated. For validation and calibration, the results of MOC were compared with the results of EPANET software as well as experimental data. To extract experimental data, the water network of Babol Noshirvani University of Technology (NIT) with a constant head of 7 m three loops, and four inclined branches were employed. While evaluating the capabilities of the developed computer code, the results show that for all pipes, as the number of pressure fluctuations in a specific period increases, the intensity of the pressure fluctuations decreases, and the damping speed increases as well. Moreover, in inclined pipes, unlike noninclined pipes, the intensity of pressure fluctuations will increase as the elevation increases and the cross-sectional distance from the transient event increases as well. The evaluation of the effect of space steps on the accuracy of the solution to the MOC shows that in the study network, considering 20 segments for each pipe, the fastest response time with an error of less than 1% is obtained.

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