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Multilevel computational model for cost and carbon optimisation of reinforced concrete floor systems

Eleftheriadis, S; Duffour, P; Greening, P; James, J; Mumovic, D; (2017) Multilevel computational model for cost and carbon optimisation of reinforced concrete floor systems. In: 34th International Symposium on Automation and Robotics in Construction (ISARC 2017). (pp. pp. 308-315). International Symposium on Automation and Robotics in Construction (ISARC) Green open access

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Abstract

The cost and carbon efficiency of building structures could be enhanced by the current developments in design automation and optimisation techniques. New ways to systematically assess design alternatives based on cost and carbon parameters are necessary. The study proposes a multilevel optimisation approach that combines Building Information Modelling (BIM) data and Finite Element Modelling (FEM) with a constrained genetic algorithm. The optimisation methodology is tested in a prototypical building floor system. Structural grid configurations, floor thicknesses and columns sizes and reinforcement details are identified. The results showed that the cost optimum design is 3% cheaper than the carbon optimum design but it has 7% more carbon. In addition, the concrete in the floor is the biggest contributor in both total cost and carbon. Relationships between cost- and carbon-optimum designs for the tested structural configuration are also discussed.

Type: Proceedings paper
Title: Multilevel computational model for cost and carbon optimisation of reinforced concrete floor systems
Event: ISARC 2017, 34th International Symposium on Automation and Robotics in Construction, 28 June to 1 July 2017, Taipei, Taiwan
Open access status: An open access version is available from UCL Discovery
DOI: 10.22260/ISARC2017/0042
Publisher version: https://doi.org/10.22260/ISARC2017/0042
Language: English
Additional information: This is the published version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Optimisation; Reinforced Concrete; Cost; Carbon; BIM; FEM
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10035962
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