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contributor authorYuriy Kovalenko
contributor authorNikolai B. Gorev
contributor authorInna F. Kodzhespirova
contributor authorRogelio Álvarez
contributor authorEugenio Prokhorov
contributor authorAlfredo Ramos
date accessioned2017-05-08T21:50:43Z
date available2017-05-08T21:50:43Z
date copyrightMay 2010
date issued2010
identifier other%28asce%29hy%2E1943-7900%2E0000205.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/64007
description abstractA procedure for the experimental convergence evaluation of a hydraulic-network solver is proposed, based on using genetic algorithms to search for network parameter values that maximize the number of iterations of the hydraulic-network solver under test. The efficiency of the method is demonstrated by the example of convergence evaluation for the EPANET hydraulic simulator. Examples of a pipe network and of combinations of parameter values for which the static solver of the simulator fails to converge in a reasonable number of iterations are given. The features of the EPANET 2.00.12 solver responsible for loss of convergence are discussed. New criteria for the automatic start of solution damping aimed at improving the convergence of the solver are proposed. The better convergence of the EPANET solver modified in accordance with these criteria is confirmed by the random and the proposed search-based testing method.
publisherAmerican Society of Civil Engineers
titleExperimental Analysis of Hydraulic Solver Convergence with Genetic Algorithms
typeJournal Paper
journal volume136
journal issue5
journal titleJournal of Hydraulic Engineering
identifier doi10.1061/(ASCE)HY.1943-7900.0000179
treeJournal of Hydraulic Engineering:;2010:;Volume ( 136 ):;issue: 005
contenttypeFulltext


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