Antonio P. Sberna

Research fellow in Structural Engineering

Politecnico di Torino

Biography

Antonio P. Sberna is a Research Fellow of Structural Engineering at the Polytechnic University of Turin in Italy. His research activities mainly focus on structural optimization, with a specific focus on enhancing seismic retrofitting design of existing structures. He spent a period as a visiting researcher at the University of California, San Diego, where he contributed in performance-based design methodologies for seismic retrofitting interventions in non-ductile structures.

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Interests

Structural Design
Earthquake Engineering
Structural Optimization
Computer-aided structural design
Existing structures retrofitting

Education

PhD in Civil and Environmental Engineering, 2024

Polytechnic University of Turin
Visiting researcher, 2023

University of California San Diego

Education

Visiting research period

University of California in San Diego

Dec 2022 – Dec 2023 San Diego (US)

Research topic: Seismic retrofit optimization of non-ductile RC buildings using soft-computing techniques within the framework of probabilistic performance-based earthquake engineering.

Advisor: Prof. Joel P. Conte

Ph.D. in Civil and Environmental Engineering

Polytechnic University of Turin

Oct 2020 – Sep 2024 Turin (Italy)

Research intererest: Optimization of retrofitting intervention of existing structures. Artificial intelligence applications for seismic engineering and collapse risks reduction.

Advisors: Prof. Giuseppe Marano and Prof. Fabio Di Trapani

M.Eng. Civil Engineering (structures)

Polytechnic University of Turin

Oct 2017 – Jul 2020 Turin (Italy)

Master thesis (in english): Optimal seismic retrofitting of reinforced concrete buildings by steel-jacketing using a genetic algorithm-based framework

Advisors: Prof. Fabio Di Trapani and Prof. Giuseppe Marano

B.Sc. Civil and Environmental Engineering

University of Catania

Oct 2013 – Apr 2017 Catania (Italy)

Bachelor thesis (in italian): Influenza dello sforzo normale sul collasso plastico di strutture intelaiate (Effect of axial load on the plastic analysis of frame structures)

Advisor: Prof. Annalisa Greco

Papers

in International Peer-Review Journals

Enhancing seismic site response analyses: tuning soil properties via genetic algorithms and Bayesian model updating from downhole array data

Combined Genetic Algorithm and Bayesian updating model updating of refine soil properties to enhance seismic response predictions

Local shear demand correction model for the analysis of reinforced concrete infilled frames with equivalent struts

Proposing an analytical model accurately predicts additional shear demand due to frame-infill interaction under seismic loads.

Reliability-based seismic retrofitting design methodology for non-ductile reinforced concrete frame structures

Performance-based seismic design of retrofitting systems for existing structures

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Proceedings

in National and International Conferences

Quickly discover relevant content by filtering publications.

Antonio P. Sberna, Di Trapani Fabio, Marano Giuseppe Carlo (2022). A new GA-based framework based on Expected Annual Loss for optimizing seismic retrofitting in reinforced concrete frame structures. 19^th ANIDIS Conference - Seismic Engineering in Italy , 11^th-15^th September 2022 | Turin (Italy).

Source Document

Di Trapani Fabio, Antonio P. Sberna, Bertagnoli Gabriele, Marano Giuseppe Carlo (2022). A novel genetic algorithm-based optimization framework for minimizing seismic retrofitting costs in existing masonry structures. 19^th ANIDIS Conference - Seismic Engineering in Italy , 11^th-15^th September 2022 | Turin (Italy).

Source Document

Di Trapani Fabio, Antonio P. Sberna, Demartino Cristoforo (2022). Genetic algorithm‐based seismic retrofitting optimization for existing masonry structures. 3ECEES - 3^rd European conference on Earthquake Engineering and Seismology, 4^th-9^th September 2022 | Bucharest (Romania).

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