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Detailed design of reinforced concrete buildings using logic programming

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dc.contributor.author Koumousis, VK en
dc.contributor.author Arsenis, SJ en
dc.contributor.author Vasiloglou, VB en
dc.date.accessioned 2014-03-01T01:11:52Z
dc.date.available 2014-03-01T01:11:52Z
dc.date.issued 1996 en
dc.identifier.issn 0965-9978 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/11838
dc.subject Design en
dc.subject Logic programming en
dc.subject Optimization en
dc.subject Reinforced concrete en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.subject.classification Computer Science, Software Engineering en
dc.subject.other Concrete buildings en
dc.subject.other Logic programming en
dc.subject.other Optimization en
dc.subject.other Structural design en
dc.subject.other Structural members en
dc.subject.other Cross sectional level en
dc.subject.other Reinforced concrete buildings en
dc.subject.other Reinforced concrete en
dc.title Detailed design of reinforced concrete buildings using logic programming en
heal.type journalArticle en
heal.identifier.primary 10.1016/0965-9978(95)00092-5 en
heal.identifier.secondary http://dx.doi.org/10.1016/0965-9978(95)00092-5 en
heal.language English en
heal.publicationDate 1996 en
heal.abstract A procedure is proposed leading to an optimal detailed design of reinforced concrete members. The general scheme followed is that of a multi-criterion design optimization. The method synthesizes the information from the cross-sectional level, to the member level and finally, to a group of members where the detailed design of the whole group is decided. At the cross-sectional level, the required reinforcement in cm(2) is converted into reinforcing bars of all possible diameters. At the member and/or group of members level, a number of lists that contain different design scenarios are generated. The method of objective weighting is applied to a multi-criterion objective function, which represents a compromise of the 'minimum weight', 'maximum uniformity' and 'minimum number of reinforcing bars' criteria. By varying the weighting factors, it is possible to generate the Pareto optimal set of the problem. The performance of the system is illustrated with a number of examples. The same building is designed using different weighting factors in the multi-criterion objective. The variation of the detailed designs is discussed and certain values for the weighting factors are recommended. Copyright (C) 1996 Civil-Comp Limited and Elsevier Science Limited. en
heal.publisher ELSEVIER SCI LTD en
heal.journalName Advances in Engineering Software en
dc.identifier.doi 10.1016/0965-9978(95)00092-5 en
dc.identifier.isi ISI:A1996UR80400009 en
dc.identifier.volume 25 en
dc.identifier.issue 2-3 en
dc.identifier.spage 161 en
dc.identifier.epage 176 en


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