News and updates
- Sistema "Formiamo il futuro" organizzato dal Formedil
"Le Parole del Futuro" Intervento di Giuseppe Marano, direttore del laboratorio ArtIStE - Artificial Intelligence in Strutctural Engineering Torino 8 marzo 2024 (English version below) Il 7 e 8 marzo 2024, il Centro Congressi Lingotto di Torino ha ospitato l'Incontro di Sistema "Formiamo il Futuro", organizzato da FORMEDIL, l'Ente Unico per la Formazione e Sicurezza… Read more: Sistema "Formiamo il futuro" organizzato dal Formedil - 1st International Course on Computational Modelling and Generative Design
Together with: 1st International Course on Computational Modelling and Generative Design 28th June - 1st July 2023Politecnico di Torinoendorsed by Italian Association for Shells and Spatial Structures Studies Dear Colleagues, We are pleased to invite you to join to the 1st International Course on Computational Modelling and Generative Design (Ph.D. third level course), held together with… Read more: 1st International Course on Computational Modelling and Generative Design - 2nd Italian Workshop on Shell and Spatial Structures (IWSS 2023)
Italian Workshop on Shell and Spatial Structures (IWSS 2023)Second Edition 26th - 28th June 2023Politecnico di Torino - Castello del Valentino - Turin (Italy)endorsed by IASS - International Association for Shell and Spatial Structures Dear Colleagues, We are pleased to announce the 2nd Italian Workshop on Shell and Spatial Structures (IWSS 2023), to be held at Castello del… Read more: <strong>2nd Italian Workshop on Shell and Spatial Structures (IWSS 2023)</strong>
Head of the Research Team
Full Professor
- email: giuseppe.marano@polito.it
- email: g.c.marano@gmail.com
- LinkedIn: Beppe Marano
DISEG
Department of Structural, Geotechnical and Building Engineering.
Politecnico di Torino, DISEG, Dipartimento di Ingegneria Strutturale, Edile e Geotecnica, Corso Duca Degli Abruzzi, 24, Turin 10128, Italy
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DISEG
Department of Structural, Geotechnical and Building Engineering
This is the official webpage of the Research Group working on Machine Learning for Structural Engineering guided by Professor Giuseppe Carlo Marano from Politecnico di Torino technical university (Turin, Italy).
Last publications
- A new genetic algorithm-based framework for optimized design of steel-jacketing retrofitting in shear-critical and ductility-critical RC frame structures
Fabio Di Trapani, Antonio Pio Sberna and Giuseppe Carlo Marano Abstract Design of seismic retrofitting of reinforced concrete (RC) structures compares structural safety on the one hand, and costs on the other. Steel-jacketing (SJ) is a very common and effective retrofitting technique, used to provide additional ductility and shear capacity to concrete members. However, its… Read more: A new genetic algorithm-based framework for optimized design of steel-jacketing retrofitting in shear-critical and ductility-critical RC frame structures - Optimal preliminary design of variable section beams criterion
Raffaele Cucuzza, Marco Martino Rosso and Giuseppe Carlo Marano Cucuzza, R., Rosso, M.M. & Marano, G.C. Optimal preliminary design of variable section beams criterion. SN Appl. Sci. 3, 745 (2021). https://doi.org/10.1007/s42452-021-04702-5 Abstract The present paper discusses about optimal shape solution for a non-prismatic planar beam. The proposed model is based on the standard Timoshenko kinematics hypothesis (i.e., planar… Read more: Optimal preliminary design of variable section beams criterion - Comparative Models and Geometrically Constrained Optimization of a Multi-Domain Variable Section Beam based on Timoshenko Model using Algorithm-Aided Design
Laura Sardone, Marco M. Rosso, Raffaele Cucuzza, Rita Greco and Giuseppe C. Marano 28-30 June 2021, Streamed from Athens, Greece Abstract This paper presents an efficient strategy to minimize the volume of a large span multi-domain variable section beam considering the geometric shape parameters as mathematical constraints. The shape optimization of the beam element has… Read more: Comparative Models and Geometrically Constrained Optimization of a Multi-Domain Variable Section Beam based on Timoshenko Model using Algorithm-Aided Design
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