The numerical development of MOC for analyzing the inclined pipelines using the experimental network of Babol Noshirvani University as a case study

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 h...

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Autores principales: Saeid Mohammadzade Negharchi, Rouzbeh Shafaghat
Formato: article
Lenguaje:EN
Publicado: IWA Publishing 2021
Materias:
moc
Acceso en línea:https://doaj.org/article/2bd0f813133c4eb4883ee8cf20335208
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Sumario: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 non-inclined 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. HIGHLIGHTS The modified correlations for use in a developed computer code based on the method of characteristics are presented.; The possibility of analyzing inclined water networks has been evaluated.; Transient signal properties and pressure fluctuations in the inclined experimental network were discussed.; Selecting the appropriate space step increases the solution speed and achieves acceptable solution accuracy.;