Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1007
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorChau, KW-
dc.creatorAlbermani, F-
dc.date.accessioned2014-12-11T08:23:55Z-
dc.date.available2014-12-11T08:23:55Z-
dc.identifier.issn0952-1976-
dc.identifier.urihttp://hdl.handle.net/10397/1007-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rightsEngineering Applications of Artificial Intelligence © 2003 Elsevier Ltd. The journal web site is located at http://www.sciencedirect.com.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectCorrosion preventionen_US
dc.subjectKnowledge acquisitionen_US
dc.subjectKnowledge based systemsen_US
dc.subjectKnowledge representationen_US
dc.subjectObject oriented programmingen_US
dc.subjectSoftware engineeringen_US
dc.subjectStructural designen_US
dc.subjectSystems analysisen_US
dc.subjectLiquid retaining structuresen_US
dc.titleHybrid knowledge representation in a blackboard KBS for liquid retaining structure designen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: K. W. Chauen_US
dc.identifier.spage11-
dc.identifier.epage18-
dc.identifier.volume17-
dc.identifier.issue1-
dc.identifier.doi10.1016/j.engappai.2003.11.007-
dcterms.abstractThis paper highlights the importance of design expertise, for designing liquid retaining structures, including subjective judgments and professional experience. Design of liquid retaining structures has special features different from the others. Being more vulnerable to corrosion problem, they have stringent requirements against serviceability limit state of crack. It is the premise of the study to transferring expert knowledge in a computerized blackboard system. Hybrid knowledge representation schemes, including production rules, object-oriented programming, and procedural methods, are employed to express engineering heuristics and standard design knowledge during the development of the knowledge-based system (KBS) for design of liquid retaining structures. This approach renders it possible to take advantages of the characteristics of each method. The system can provide the user with advice on preliminary design, loading specification, optimized configuration selection and detailed design analysis of liquid retaining structure. It would be beneficial to the field of retaining structure design by focusing on the acquisition and organization of expert knowledge through the development of recent artificial intelligence technology.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEngineering applications of artificial intelligence, Feb. 2004, v. 17, no. 1, p. 11-18-
dcterms.isPartOfEngineering applications of artificial intelligence-
dcterms.issued2003-02-
dc.identifier.isiWOS:000220152300002-
dc.identifier.scopus2-s2.0-1242264864-
dc.identifier.eissn1873-6769-
dc.identifier.rosgroupidr17949-
dc.description.ros2003-2004 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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