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http://hdl.handle.net/10397/1233
Title: | Expert system application on preliminary design of water retaining structures | Authors: | Chau, KW Albermani, F |
Issue Date: | Feb-2002 | Source: | Expert systems with applications, Feb. 2002, v. 22, no. 2. p. 169-178 | Abstract: | Design of liquid retaining structures involves many decisions to be made by the designer based on rules of thumb, heuristics, judgment, code of practice and previous experience. Various design parameters to be chosen include configuration, material, loading, etc. A novice engineer may face many difficulties in the design process. Recent developments in artificial intelligence and emerging field of knowledge-based system (KBS) have made widespread applications in different fields. However, no attempt has been made to apply this intelligent system to the design of liquid retaining structures. The objective of this study is, thus, to develop a KBS that has the ability to assist engineers in the preliminary design of liquid retaining structures. Moreover, it can provide expert advice to the user in selection of design criteria, design parameters and optimum configuration based on minimum cost. The development of a prototype KBS for the design of liquid retaining structures (LIQUID), using blackboard architecture with hybrid knowledge representation techniques including production rule system and object-oriented approach, is presented in this paper. An expert system shell, Visual Rule Studio, is employed to facilitate the development of this prototype system. | Keywords: | Knowledge-based system Object-oriented System Preliminary design Water retaining structures |
Publisher: | Pergamon Press | Journal: | Expert systems with applications | ISSN: | 0957-4174 | EISSN: | 1873-6793 | DOI: | 10.1016/S0957-4174(01)00053-7 | Rights: | Expert Systems with Applications © 2002 Elsevier Science Ltd. The journal web site is located at http://www.sciencedirect.com. |
Appears in Collections: | Journal/Magazine Article |
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File | Description | Size | Format | |
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ESWA1.pdf | Pre-published version | 146.21 kB | Adobe PDF | View/Open |
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