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dc.creatorAlnouri, Sabla Y.
dc.creatorKijevčanin, Mirjana
dc.creatorStijepović, Mirko
dc.date.accessioned2022-03-04T11:14:29Z
dc.date.available2022-03-04T11:14:29Z
dc.date.issued2020
dc.identifier.issn0367-598X
dc.identifier.urihttp://TechnoRep.tmf.bg.ac.rs/handle/123456789/4760
dc.description.abstractThis paper utilizes a stochastic optimization approach using genetic algorithms, for conducting rigorous pipe size sensitivity assessments onto the design of pressure relief networks. By sampling high performance candidates, only the finest options can survive. The pressure relief network system that was investigated in this work was previously reported in literature. The problem is constrained and involves minimizing a cost objective function that evaluates the overall network performance, in which the best pipe size combination should be selected for each segment within the network. The overall goal of this paper was to seek cost-effective designs for the pressure relief piping system by exploring different ranges of pipe diameters that are available for each segment in the network and comparing how the overall design of the system is affected, when the number of pipe size options to select from is varied.en
dc.relationinfo:eu-repo/grantAgreement/MESTD/inst-2020/200135/RS//
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceHemijska industrija
dc.subjectdesignen
dc.subjectmodelen
dc.subjectoptimizationen
dc.titlePipe size sensitivity in pressure relief networks using genetic algorithmsen
dc.typearticle
dc.rights.licenseBY-NC-ND
dc.citation.epage364
dc.citation.issue6
dc.citation.other74(6): 351-364
dc.citation.rankM23
dc.citation.spage351
dc.citation.volume74
dc.identifier.doi10.2298/HEMIND200709032A
dc.identifier.fulltexthttp://TechnoRep.tmf.bg.ac.rs/bitstream/id/7985/Pipe_size_sensitivity_pub_2020.pdf
dc.identifier.scopus2-s2.0-85101170836
dc.identifier.wos000613646400001
dc.type.versionpublishedVersion


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