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R. Cucuzza¹, M. Domaneschi¹, J.C.O. Garcia¹, M.M. Rad² and M. Habashneh²

¹Department of Structural, Building and Geotechnical Engineering, Politecnico Di Torino, Torino, Italy
²Department of Structural and Geotechnical Engineering, Széchenyi István University, Gyor, Hungary

doi:10.4203/ccc.5.1.5

R. Cucuzza, M. Domaneschi, J.C.O. Garcia, M.M. Rad, M. Habashneh, "Construction-based optimization criteria for steel trusses", in P. Iványi, J. Logo, B.H.V. Topping, (Editors), "Proceedings of the Sixth International Conference on Soft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 5, Paper 1.5, 2023, doi:10.4203/ccc.5.1.5

Keywords: constructability, size optimization, shape optimization, topology optimization, penalty function, truss analysis.

Abstract

In this study, a grouping strategy for the simultaneous size, shape and topology optimization of steel truss structures has been presented. The novelty of our study relies in the definition of the objective function, not intended to a simple weight minimization, but accounting also for constructability issues. More precisely, based on practical and cost considerations, the optimum number of distinct cross-sections used has been sought. The considered numerical example has been illustrated, i.e., the one related to the simple truss. Also, the dynamic grouping strategy, as well as the assembly of the model have been illustrated. The objective function formulation has been finally proposed, with the careful calibration of all the parameters involved. The parametric modelling, the FEM structural analysis and the optimization have been carried out with Rhinoceros plug-ins, Grasshopper, Karamba3D and Octopus, respectively. The performance of the proposed objective function has been examined in different conditions, with simultaneous size, shape and topology optimization cases. Results have been reported, where the influence of each penalty function has been studied and analyzed with great detail.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 5 PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING, MACHINE LEARNING AND OPTIMISATION IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: P. Iványi, J. Logo and B.H.V. Topping Paper 1.5 Construction-based optimization criteria for steel trusses R. Cucuzza¹, M. Domaneschi¹, J.C.O. Garcia¹, M.M. Rad² and M. Habashneh² ¹Department of Structural, Building and Geotechnical Engineering, Politecnico Di Torino, Torino, Italy ²Department of Structural and Geotechnical Engineering, Széchenyi István University, Gyor, Hungary doi:10.4203/ccc.5.1.5 Full Bibliographic Reference for this paper R. Cucuzza, M. Domaneschi, J.C.O. Garcia, M.M. Rad, M. Habashneh, "Construction-based optimization criteria for steel trusses", in P. Iványi, J. Logo, B.H.V. Topping, (Editors), "Proceedings of the Sixth International Conference on Soft Computing, Machine Learning and Optimisation in Civil, Structural and Environmental Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 5, Paper 1.5, 2023, doi:10.4203/ccc.5.1.5 Keywords: constructability, size optimization, shape optimization, topology optimization, penalty function, truss analysis. Abstract In this study, a grouping strategy for the simultaneous size, shape and topology optimization of steel truss structures has been presented. The novelty of our study relies in the definition of the objective function, not intended to a simple weight minimization, but accounting also for constructability issues. More precisely, based on practical and cost considerations, the optimum number of distinct cross-sections used has been sought. The considered numerical example has been illustrated, i.e., the one related to the simple truss. Also, the dynamic grouping strategy, as well as the assembly of the model have been illustrated. The objective function formulation has been finally proposed, with the careful calibration of all the parameters involved. The parametric modelling, the FEM structural analysis and the optimization have been carried out with Rhinoceros plug-ins, Grasshopper, Karamba3D and Octopus, respectively. The performance of the proposed objective function has been examined in different conditions, with simultaneous size, shape and topology optimization cases. Results have been reported, where the influence of each penalty function has been studied and analyzed with great detail. download the full-text of this paper (PDF, 11 pages, 423 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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