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An integrated ontology-based approach for optimizing structural design at early stage with consideration of environmental impact and cost

Zhang, Jisong, Li, Haijiang, Zhao, Yinghua and Ren, Guoqian 2017. An integrated ontology-based approach for optimizing structural design at early stage with consideration of environmental impact and cost. Presented at: 24th International Workshop on Intelligent Computing in Engineering, Nottingham, UK, 10-12 July 2017. Proceedings of the 24th EG-ICE International Workshop on Intelligent Computing in Engineering (EG-ICE 2017). Curran Associates, Inc, -.

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Abstract

Early stage decision-making for structural design critically influences the overall cost and environmental performance of buildings and infrastructure. However, the current approach often fails to consider the multi-perspectives of structural design, such as safety, environmental issues and cost in a comprehensive way. This paper presents a holistic approach based on knowledge processing (ontology) to facilitate a smarter decision-making process for early design stage by informing designers of the environmental impact and cost along with safety considerations. The approach can give a reasoning based quantitative understanding of how the design alternatives using different concrete materials can affect the ultimate overall performance. Embodied CO2 and cost are both considered along with safety criteria as indicative multi-perspectives to demonstrate the novelty of the approach. A case study of a concrete structural frame is used to explain how the proposed method can be used by structural designers when taking multi performance criteria into account.

Item Type: Conference or Workshop Item (Paper)
Status: Published
Schools: Engineering
Publisher: Curran Associates, Inc
ISBN: 9781510843455
Last Modified: 16 Sep 2019 15:00
URI: http://orca.cf.ac.uk/id/eprint/121071

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