Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/995
Title: | A knowledge-based system for liquid retaining structure design with blackboard architecture | Authors: | Chau, KW Albermani, F |
Issue Date: | Jan-2005 | Source: | Building and environment, Jan. 2005, v. 40, no. 1, p. 73-81 | Abstract: | Owing to the high degree of vulnerability of liquid retaining structures to corrosion problems, there are stringent requirements in its design against cracking. In this paper, a prototype knowledge-based system is developed and implemented for the design of liquid retaining structures based on the blackboard architecture. A commercially available expert system shell VISUAL RULE STUDIO working as an ActiveX Designer under the VISUAL BASIC programming environment is employed. Hybrid knowledge representation approach with production rules and procedural methods under object-oriented programming are used to represent the engineering heuristics and design knowledge of this domain. It is demonstrated that the blackboard architecture is capable of integrating different knowledge together in an effective manner. The system is tailored to give advice to users regarding preliminary design, loading specification and optimized configuration selection of this type of structure. An example of application is given to illustrate the capabilities of the prototype system in transferring knowledge on liquid retaining structure to novice engineers. | Keywords: | Knowledge acquisition Object oriented programming Optimization Structure (composition) |
Publisher: | Pergamon Press | Journal: | Building and environment | ISSN: | 0360-1323 | EISSN: | 1873-684X | DOI: | 10.1016/j.buildenv.2004.05.005 | Rights: | Building and Environment © 2004 Elsevier Ltd. The journal web site is located at http://www.sciencedirect.com. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
B&E2.pdf | Pre-published version | 131.11 kB | Adobe PDF | View/Open |
Page views
115
Last Week
0
0
Last month
Citations as of May 28, 2023
Downloads
207
Citations as of May 28, 2023
SCOPUSTM
Citations
5
Last Week
0
0
Last month
0
0
Citations as of May 25, 2023
WEB OF SCIENCETM
Citations
2
Last Week
0
0
Last month
0
0
Citations as of May 25, 2023

Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.