Welcome to the official webpage of the ArtIStE Research Group, based at DISEG Department of Structural, Geotechnical and Building Engineering at Politecnico di Torino technical university (Turin, Italy).
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Highlights
doi.org/10.5281/zenodo.22812754
ARTISTE 2025 - First International Conference on Artificial Intelligence in Structural Engineering
- Conference: September 14-17, 2025
- Summer school: September 18-20, 2025
- Venue Conference: Politecnico di Torino, Turin (Italy) – VALENTINO CASTLE
- Venue Summer School: Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 – Turin (Italy)
- Accepted papers will be indexed on Elsevier SCOPUS/Web of Science
- See you in Torino at ARTISTE2025!
ArtIStE Research Topics
Structural Optimization
In a context that envisions increasingly sustainable development, the study of techniques to reduce impact in this sector assumes vital importance.
The discipline of structural optimization was born out of this requirement.
Parametric Design
Parametric design is essential for effectively exploring different structural layout searching for the most cost-effective solution. Parametric design is indeed at the base of the Building Information Modeling (BIM) approach. Moreover, Generative Artificial Intelligence tools are promising methods which are already revolutionizing the structural conceptual design current procedures.
Structural Health Monitoring
Monitoring the structural health and degradation in structures is a key point for modern infrastructure networks as well as in cities and historical constructions.
Growing up everyday
Research, innovation, international relationships, and beyond are the fundamental cornerstones of ArtIStE philosophy. Our belief in widespreading the acquired knowledge and the achieved advancements in research to our engineering students are key factors for ensuring a successful growing up as a scientific community and professionals.
Head of the Research Group
Prof. Giuseppe Carlo Marano
Full Professor of Structural Design at Politecnico di Torino.
- Institutional email: giuseppe.marano@polito.it
- Personal email: g.c.marano@gmail.com
- LinkedIn profile: Beppe Marano
Assistant and Secretary of ArtIStE
Ph.D Can. Arman Hajiha
- E-Mail; arman.hajiha@polito.it
- Resarchgate Page: Click here
- University Profile: Click here
News & Information from ArtIStE
- ARTISTE.CHINA26 — 2nd International Conference on Artificial Intelligence in Structural Engineering
Scope Artificial intelligence, as the core driving force of a new round of technological revolution and industrial transformation, is accelerating its integration into civil engineering, advanced manufacturing and mechanical equipment, reshaping the digital and intelligent development of the construction industry. China's 15th Five Year Plan explicitly pursues intelligent, green and integrated development, implements the "AI+"… Read more: ARTISTE.CHINA26 — 2nd International Conference on Artificial Intelligence in Structural Engineering - New open-source release: OpenSeesPy 2D RC Frame Optimizer
A new open-source tool from the ARtIStE group is now archived on Zenodo and available on GitHub. The OpenSeesPy 2D RC Frame Optimizer automates the complete seismic workflow for planar reinforced concrete frames, from model generation through Eurocode verification to the selection of a cost-optimal retrofit strategy and finalizing with an almost professional and complete… Read more: New open-source release: OpenSeesPy 2D RC Frame Optimizer - ARTISTE 2025 International Conference and Summer School
ARTISTE 2025 - First International Conference on Artificial Intelligence in Structural Engineering - PyOMA2
This is the new and updated version of pyOMA module (see also here), a Python module designed for conducting operational modal analysis. With this update, we've transformed pyOMA from a basic collection of functions into a more sophisticated module that fully leverages the capabilities of Python classes. The module now supports analysis of both single… Read more: PyOMA2
Active Research Projects
- PRIN 2022 AI-SUST
Artificial Intelligence for SUainable seismic risk reduction of STructures (AI-SUST) PRIN 2022 AI-SUST Project Abstract The dramatic seismic events occurred in Italy in past 15 years have clearly highlighted that reconstruction and restoration costs of large territories are unsustainable by the governments. Also, cities downtime for reconstruction has a dramatic societal impact, such as depopulation… Read more: PRIN 2022 AI-SUST
Released Softwares
- New open-source release: OpenSeesPy 2D RC Frame OptimizerA new open-source tool from the ARtIStE group is now archived on Zenodo and available on GitHub. The OpenSeesPy 2D RC Frame Optimizer automates the complete seismic workflow for planar reinforced concrete frames, from model generation through Eurocode verification to the selection of a cost-optimal retrofit strategy and finalizing with an almost professional and complete… Read more: New open-source release: OpenSeesPy 2D RC Frame Optimizer
- PyOMA and PyOMA_GUI: A Python module and software for Operational Modal Analysis
Project PyOMA - how to cite this Visit repository: https://github.com/dagghe/PyOMA For more from ArtIStE visit Github repository: ArtIStE-DISEG-PoliTo This software was created to perform output-only modal identification (Operational Modal Analysis, OMA). OMA allows the experimental estimation of the modal parameters (natural frequencies, mode shapes, damping ratios) of a structure from measurements of the vibration response… Read more: PyOMA and PyOMA_GUI: A Python module and software for Operational Modal Analysis - SAPLAB Structural Analysis Program Laboratory
Master degree thesis at Politecnico di Torino Candidate: Gabriele Fiducia Supervisors: Giorgio Zavarise, Pietro Cornetti Project Co-supervisor: Prof. Giuseppe Carlo Marano For more from ArtIStE visit Github repository: ArtIStE-DISEG-PoliTo SAPLABStructural Analysis Program LaboratoryExperimental tool of MATLAB (Matrix Laboratory) for the calculation, simulation and finite element analysis of simple structural systems. Users Manual (Italian) Download the… Read more: SAPLAB Structural Analysis Program Laboratory - PyOMA2This is the new and updated version of pyOMA module (see also here), a Python module designed for conducting operational modal analysis. With this update, we've transformed pyOMA from a basic collection of functions into a more sophisticated module that fully leverages the capabilities of Python classes. The module now supports analysis of both single… Read more: PyOMA2