[{"key":"dc.contributor.author","value":"Forde, Bruce W. R.","language":""},{"key":"dc.date.accessioned","value":"2010-10-11T17:09:39Z","language":""},{"key":"dc.date.available","value":"2010-10-11T17:09:39Z","language":""},{"key":"dc.date.issued","value":"1989","language":""},{"key":"dc.identifier.uri","value":"http:\/\/hdl.handle.net\/2429\/29102","language":""},{"key":"dc.description.abstract","value":"This thesis explores the application of some of the more practical artificial intelligence (Al) techniques developed to date in the field of engineering analysis. The limitations of conventional computer-aided analysis programs provide the motivation for knowledge automation and development of a hybrid approach for constructing and controlling engineering analysis software.\r\nArtificial intelligence technology used in this thesis includes: object-oriented programming, generic application frameworks, event-driven architectures, and knowledge-based expert systems. Emphasis is placed on the implementation-independent description of objects, classes, methods, and inheritance using a simple graphical representation.\r\nThe kinds of knowledge used in the analysis process, the programs that control this knowledge, and the resources that perform numerical computation are described as part of a hybrid system for engineering analysis. Modelling, solution, and interpretation activities are examined for a generic problem and a control framework is adopted for event-driven operation.\r\nAn intelligent finite element analysis program called \"SNAP\" is developed to demonstrate the application of Al in the numerical analysis of two-dimensional linear problems in solid and structural mechanics. A step-by-step discussion is given for the design, implementation, and operation of the SNAP software to provide a clear understanding of the principles involved.\r\nThe general conclusion of this thesis is that a variety of artificial intelligence techniques can be used to significantly improve the engineering analysis process, and that much research is still to be done. A series of projects suitable for completion by graduate students in the field of structural engineering are described at the end of the thesis.","language":"en"},{"key":"dc.language.iso","value":"eng","language":"en"},{"key":"dc.publisher","value":"University of British Columbia","language":"en"},{"key":"dc.rights","value":"For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https:\/\/open.library.ubc.ca\/terms_of_use.","language":""},{"key":"dc.title","value":"An application of selected artificial intelligence techniques to engineering analysis","language":"en"},{"key":"dc.type","value":"Text","language":"en"},{"key":"dc.degree.name","value":"Doctor of Philosophy - PhD","language":"en"},{"key":"dc.degree.discipline","value":"Civil Engineering","language":"en"},{"key":"dc.degree.grantor","value":"University of British Columbia","language":"en"},{"key":"dc.type.text","value":"Thesis\/Dissertation","language":"en"},{"key":"dc.description.affiliation","value":"Applied Science, Faculty of","language":"en"},{"key":"dc.description.affiliation","value":"Civil Engineering, Department of","language":""},{"key":"dc.degree.campus","value":"UBCV","language":"en"},{"key":"dc.description.scholarlevel","value":"Graduate","language":"en"}]