Publications

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
Shima Sadeghzadeh, Antonio P. Sberna, Fabio Di Trapani, Cristoforo Demartino
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Enhancing seismic site response analyses: tuning soil properties via genetic algorithms and Bayesian model updating from downhole array data
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.
Di Trapani Fabio, Marilisa Di Benedetto, Antonio P. Sberna, Camata Guido
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Local shear demand correction model for the analysis of reinforced concrete infilled frames with equivalent struts
Reliability-based seismic retrofitting design methodology for non-ductile reinforced concrete frame structures
Performance-based seismic design of retrofitting systems for existing structures
Antonio P. Sberna, Angshuman Deb, Di Trapani Fabio, Joel P. Conte
Reliability-based seismic retrofitting design methodology for non-ductile reinforced concrete frame structures
Structural health monitoring of masonry structure by stress sensors: Experimental induced damage tests and proposed numerical approach for real time monitoring
Investigates innovative stress sensors for Structural Health Monitoring in masonry structures.
Di Trapani Fabio, Maria Concetta Oddo, Antonio P. Sberna, Lidia La Mendola
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Structural health monitoring of masonry structure by stress sensors: Experimental induced damage tests and proposed numerical approach for real time monitoring
Cost-effective topology optimization of existing masonry structure seismic reinforcements by a new genetic algorithm-based framework
New framework for the cost optimization of CRM retrofitting in masonry structures involving linear elastic analyses.
Antonio P. Sberna, Cristoforo Demartino, Ivo Vanzi, Giuseppe C. Marano, Fabio Di Trapani
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Cost-effective topology optimization of existing masonry structure seismic reinforcements by a new genetic algorithm-based framework
Dynamic progressive collapse response of multi-storey frame structures with masonry infills
An analysis of the effect of masonry infills on progressive collapse of RC frame structures
Di Trapani Fabio, Antonio P. Sberna, Di Benedetto Marilisa, Villar Sofia, Demartino Cristoforo, Marano Giuseppe C.
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Dynamic progressive collapse response of multi-storey frame structures with masonry infills
A novel genetic algorithm-based optimization framework for minimizing seismic retrofitting costs in existing masonry structures
Di Trapani Fabio, Antonio P. Sberna, Bertagnoli Gabriele, Marano Giuseppe Carlo
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A novel genetic algorithm-based optimization framework for minimizing seismic retrofitting costs in existing masonry structures
A new GA-based framework based on Expected Annual Loss for optimizing seismic retrofitting in reinforced concrete frame structures
Antonio P. Sberna, Di Trapani Fabio, Marano Giuseppe Carlo
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A new GA-based framework based on Expected Annual Loss for optimizing seismic retrofitting in reinforced concrete frame structures
Predictive equations for the out‐of-plane resistance of masonry infills in RC frames by a data‐driven approach
Di Trapani Fabio, Vizzino Alessandro, Tomaselli Giovanni, Antonio P. Sberna, Bertagnoli Gabriele
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Predictive equations for the out‐of-plane resistance of masonry infills in RC frames by a data‐driven approach
Genetic algorithm‐based seismic retrofitting optimization for existing masonry structures
Di Trapani Fabio, Antonio P. Sberna, Demartino Cristoforo
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Genetic algorithm‐based seismic retrofitting optimization for existing masonry structures
Genetic algorithm-based optimization procedure for the seismic retrofitting of existing masonry structures
Di Trapani Fabio, Antonio P. Sberna, Demartino Cristoforo, Marano Giuseppe C.
Source Document
Genetic algorithm-based optimization procedure for the seismic retrofitting of existing masonry structures
Simplified Evaluation of the Additional Shear Demand Due to Masonry Infills
Di Trapani Fabio, Bogatkina Valentina, Di Benedetto Marilisa, Antonio P. Sberna, Petracca Massimo, Camata Guido
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Simplified Evaluation of the Additional Shear Demand Due to Masonry Infills
A novel framework based on Expected Annual Loss for optimizing seismic retrofitting in reinforced concrete structures
Antonio P. Sberna, Di Trapani Fabio, Marano Giuseppe C.
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A novel framework based on Expected Annual Loss for optimizing seismic retrofitting in reinforced concrete structures
Dynamic response of infilled frames subject to accidental column losses
Di Trapani Fabio, Tomaselli Giovanni, Antonio P. Sberna, Rosso Marco M, Marano Giuseppe C.
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Dynamic response of infilled frames subject to accidental column losses
AI-based optimization framework for the design of seismic retrofitting of reinforced concrete frame structures based on direct costs and EAL
New advancement on the computer-aided design of seismic retrofitting intervention based on the evaluation of EAL
Di Trapani Fabio, Antonio P. Sberna, Giuseppe C. Marano
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AI-based optimization framework for the design of seismic retrofitting of reinforced concrete frame structures based on direct costs and EAL
A new empirical formulation for the out-of-plane resistance of infilled reinforced concrete frames without prior in-plane loading
Genetic algorithm application to determine an empirical formulation for oop strenght of infills starting from a set of experimental and numerica results
Di Trapani Fabio, Alessandro Vizzino, Giovanni Tomaselli, Antonio P. Sberna, Gabriele Bertagnoli
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A new empirical formulation for the out-of-plane resistance of infilled reinforced concrete frames without prior in-plane loading
Optimization of steel-jacketing retrofitting of shear-critical and ductility-critical RC frame structures by a novel genetic algorithm framework
Antonio P. Sberna, Di Trapani Fabio, Marano Giuseppe C.
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Optimization of steel-jacketing retrofitting of shear-critical and ductility-critical RC frame structures by a novel genetic algorithm framework
Expected Annual Loss oriented seismic retrofitting optimization of RC frame structures using a new AI-based framework
Di Trapani Fabio, Antonio P. Sberna, Marano Giuseppe C.
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Expected Annual Loss oriented seismic retrofitting optimization of RC frame structures using a new AI-based framework
A new genetic algorithm-based framework for optimized design of steel-jacketing retrofitting in shear-critical and ductility-critical RC frame structures
A new framework to optimize retrofitting interventions for RC structures with shear and ductility lacks
Di Trapani Fabio, Antonio P. Sberna, Marano Giuseppe C.
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A new genetic algorithm-based framework for optimized design of steel-jacketing retrofitting in shear-critical and ductility-critical RC frame structures
Cost and EAL based optimization for seismic reinforcement of RC structures
Di Trapani Fabio, Antonio P. Sberna, Marano Giuseppe C.
Cost and EAL based optimization for seismic reinforcement of RC structures
Cost-based and EAL based optimization algorithms for seismic retrofitting of RC frame structures
Di Trapani Fabio, Antonio P. Sberna, Tomaselli Giovanni, Marano Giuseppe C.
Cost-based and EAL based optimization algorithms for seismic retrofitting of RC frame structures
Genetic algorithm-based optimization of RC frame structures retrofitting with steel jacketing
Di Trapani Fabio, Malavisi Marzia, Antonio P. Sberna, Marano Giuseppe C.
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Genetic algorithm-based optimization of RC frame structures retrofitting with steel jacketing
Optimal seismic retrofitting of reinforced concrete buildings by steel-jacketing using a genetic algorithm-based framework
The first application of genetic algorithms to pinpoint the optimal arrangement of steel jacketing retrofitting interventions on RC columns
Di Trapani Fabio, Malavisi Marzia, Marano Giuseppe C., Antonio P. Sberna, Greco Rita
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Optimal seismic retrofitting of reinforced concrete buildings by steel-jacketing using a genetic algorithm-based framework