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PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Edited by: Y. Tsompanakis, J. Kruis and B.H.V. Topping
A Novel Knowledge-Based Engineering Approach for Infrastructure Design
D. Singer and A. Borrmann
Chair of Computational Modeling and Simulation, Technische Universität München, Germany
D. Singer, A. Borrmann, "A Novel Knowledge-Based Engineering Approach for Infrastructure Design", in Y. Tsompanakis, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 17, 2015. doi:10.4203/ccp.109.17
Keywords: knowledge-based engineering, building information modelling, virtual design, virtual construction, infrastructure design, decision support.
In this paper, a novel knowledge-based engineering (KBE) approach for the preliminary design of infrastructure construction is presented. To this end, a system architecture is presented which ensures the independence of knowledge representation and product modelling. For this reason, the knowledge base and rule engine are implemented in a KBE control centre, which runs separated from the modelling and simulation modules. In particular, the integration of the KBE system with the building information modelling based planning process is considered. Using open data formats like IFC, downstream applications could be accessed via standardized interfaces and thus are easily used for simulation purposes. The use of a visual programming language (VPL) which implements La Rocca's high level primitives (HLP) and capability modules (CM) for the geometric-semantic modelling of the building product model is presented. The use of a VPL carries certain advantages, such as improved dependency tracking and decision transparency for the user. As a VPL is used, an abstraction layer concept (ALC) for hierarchical structuring of HLPs and CMs has been established and is presented. The suggested approach provides the basis for the next generation infrastructure design and will significantly contribute to a more efficient, cost-saving and high quality planning of infrastructure projects in the future.
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