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J. Olivo, R. Cucuzza, G.C. Marano, "Performance-Based Optimization of Steel Exoskeletons: An Alternative Approach to Standard Regulations", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Seventh International Conference on Artificial Intelligence, Soft Computing, Machine Learning and Optimization in Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 11, Paper 3.3, 2025, doi:10.4203/ccc.11.3.3

Keywords: exoskeletons, seismic retrofit, optimization, sensitivity analysis, inter-storey drift, modified genetic algorithm.

Abstract

Among the various seismic retrofitting techniques, steel exoskeletons are distinguished by their non-invasive nature. However, only a few consolidated methodologies have been proposed for their design. The approach of several standard codes is based on the classification of elements according to their relative stiffness. In this way, a ratio between the stiffness of the exoskeletons and that of the building is taken as the main design parameter. In this study, a performance-based design approach was employed, with the inter-story drift of the building as the performance target. A sensitivity analysis was conducted to assess the impact of different inter-story drift thresholds on the structural behavior of the building-exoskeleton system. For each threshold, an optimization process was conducted to identify the optimal number of exoskeletons, their placement around the building, and the dimensions of their elements. Finally, the stiffness ratios were determined for each optimal configuration and were compared to the threshold provided by the regulations. This comparison yielded interesting insights into the differences in the approaches.

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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: 11 PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, SOFT COMPUTING, MACHINE LEARNING AND OPTIMIZATION IN ENGINEERING Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 3.3 Performance-Based Optimization of Steel Exoskeletons: An Alternative Approach to Standard Regulations J. Olivo, R. Cucuzza and G.C. Marano Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Italy doi:10.4203/ccc.11.3.3 Full Bibliographic Reference for this paper J. Olivo, R. Cucuzza, G.C. Marano, "Performance-Based Optimization of Steel Exoskeletons: An Alternative Approach to Standard Regulations", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Seventh International Conference on Artificial Intelligence, Soft Computing, Machine Learning and Optimization in Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 11, Paper 3.3, 2025, doi:10.4203/ccc.11.3.3 Keywords: exoskeletons, seismic retrofit, optimization, sensitivity analysis, inter-storey drift, modified genetic algorithm. Abstract Among the various seismic retrofitting techniques, steel exoskeletons are distinguished by their non-invasive nature. However, only a few consolidated methodologies have been proposed for their design. The approach of several standard codes is based on the classification of elements according to their relative stiffness. In this way, a ratio between the stiffness of the exoskeletons and that of the building is taken as the main design parameter. In this study, a performance-based design approach was employed, with the inter-story drift of the building as the performance target. A sensitivity analysis was conducted to assess the impact of different inter-story drift thresholds on the structural behavior of the building-exoskeleton system. For each threshold, an optimization process was conducted to identify the optimal number of exoskeletons, their placement around the building, and the dimensions of their elements. Finally, the stiffness ratios were determined for each optimal configuration and were compared to the threshold provided by the regulations. This comparison yielded interesting insights into the differences in the approaches. download the full-text of this paper (PDF, 10 pages, 971 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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