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ISSN 2753-3239
CCC: 9
PROCEEDINGS OF THE FIFTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY
Edited by: P. Iványi, J. Kruis and B.H.V. Topping
Paper 4.7

Integration of Life Cycle Assessment in Structural Optimisation of Steel Structures

R. Cucuzza1, M. Domaneschi1, R. Di Bari2, M. Movahedi Rad3, G. Milani4 and G.C. Marano1

1Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, Torino, Italy
2School of Civil Engineering, University of Birmingham, United Kingdom
3Department of Structural and Geotechnical Engineering, Széchenyi István University, Győr, Hungary
4Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Italia

Full Bibliographic Reference for this paper
R. Cucuzza, M. Domaneschi, R. Di Bari, M. Movahedi Rad, G. Milani, G.C. Marano, "Integration of Life Cycle Assessment in Structural Optimisation of Steel Structures", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fifteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 9, Paper 4.7, 2024, doi:10.4203/ccc.9.4.7
Keywords: life-cycle-assessment, multi-criteria, steel, constructability, truss, structural optimization.

Abstract
Lowering environmental impacts has lately been a critical objective of structural optimisation due to the significant amount of greenhouse gas emissions in the civil engineering sector. This work introduces a Life Cycle Assessment based multi-objective optimisation framework for the optimal design of mixed steel-timber structures by varying the building design’s size, shape, and topology. The study’s novelty stems from the integration of an environmental objective function in the early design process, based on Life Cycle Assessment methodology and standard environmental indicators, and the definition of a structural target function where a penalty-based approach is implemented for reducing structural complexity in situ. The structural cost and the Global Warming Potential are the objective functions of the optimisation problem. The analysis outcomes show a mass-saving of almost 20% and a significant reduction of Global Warming Potential emissions equal to 50% when steel-timber mixed designs are preferred to steel-only configurations.

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