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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 17
KNOWLEDGE BASED SYSTEMS FOR CIVIL & STRUCTURAL ENGINEERING Edited by: B.H.V. Topping
Paper II.1
A Blackboard Approach for the Integration of an Intelligent Knowledge based System into Engineering Software M. Petridis and B. Knight
School of Mathematics Statistics & Computing, The University of Greenwich, Woolwich, London, England M. Petridis, B. Knight, "A Blackboard Approach for the Integration of an Intelligent Knowledge based System into Engineering Software", in B.H.V. Topping, (Editor), "Knowledge Based Systems for Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 49-56, 1993. doi:10.4203/ccp.17.2.1
Abstract
The extensive use of generic Computational Fluid Dynamics (CFD) engineering software packages over
recent years and its spread across various application fields, has created the need for the integration of
expertise into CFD software. The advantages of integrating Intelligence into engineering software in the
form of an Intelligent Knowledge Based System (IKBS) are discussed with a special view to software
engineering considerations. The software modelling cycle of a typical engineering problem is identified
and the respective expertise and user control needed for each modelling phase is shown. The requirements
of a IKBS for CFD software are discussed and compared to current practice. The Blackboard software
architecture is shown to be appropriate for the integration of an IKBS into an engineering software
package. This is demonstrated through the presentation of the prototype Computational Fluid Dynamics
software package FLOWES. FLOWES has been built around the blackboard software structure, which is
shown to provide a flexible mechanism for passing information and control between the various software
modules. FLOWES includes an IKBS in the form of a qualitative data dictionary, a rulebase and an
inference engine. Experience accrued using FLOWES is discussed focusing on the IKBS and the
blackboard architecture.
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