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Computer Program for Numerical Modeling and Optimization of Hydraulic Transient and Cavitation Phenomena

Authors: Vuković, Senka; Sopta, Luka;

Computer Program for Numerical Modeling and Optimization of Hydraulic Transient and Cavitation Phenomena

Abstract

In the paper computer program “Egap” (ENO & GA Pipeline Optimizer) developed by the authors is presented. Program “Egap” implements the numerical model of hydraulic transient and cavitation phenomena based on the application of essentially nonoscillatory schemas on hyperbolic conservation laws, as well as optimization problem solution based on the application of the genetic algorithm. “Egap” can be used for pipelines in hydroelectric power plants, nuclear power plants, in oil industry, in ships, etc. It provides the capability to predict the consequences of manipulations with valves, pumps, turbines, etc. and to achieve optimal control in these operations with the goal of minimizing pressure oscillations or lengths of cavitation zones. “Egap” is developed using “Microsoft Visual C++ Developer Studio” so it is also characterized with a user-friendly Windows environment

Keywords

pipelines; essentially nonoscillatory schema; genetic algorithm; optimization; MFC application

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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