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293 results on '"De Domenico, Dario"'

2. Quality Control of Prestressed Concrete Girder Decks in Existing Bridges: From Diagnostics to Numerical Analysis

Author

De Domenico, Dario, Messina, Davide, Recupero, Antonino, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Aiello, Maria Antonietta, editor, and Bilotta, Antonio, editor

Published
2024
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3. Green High-Performance Mortars for 3D Printing Applications

Author

Falliano, Devid, De Domenico, Dario, Cosenza, Paolo, Ricciardi, Giuseppe, Restuccia, Luciana, Ferro, Giuseppe Andrea, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, and Menegotto, Marco, editor

Published
2024
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8. Unseating Risk of a Continuous PC Box-Girder Bridge: Experimental Monitoring and Numerical Analysis

Author

De Domenico, Dario, Messina, Davide, Cavallaro, Angelo, Recupero, Antonino, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Ilki, Alper, editor, Çavunt, Derya, editor, and Çavunt, Yavuz Selim, editor

Published
2023
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9. A Novel Procedure for Damping Ratio Identification from Free Vibration Tests with Application to Existing Bridge Decks

Author

Mazzeo, Matteo, De Domenico, Dario, Quaranta, Giuseppe, Santoro, Roberta, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Rizzo, Piervincenzo, editor, and Milazzo, Alberto, editor

Published
2023
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17. Structural Safety Assessment of Existing Bridge Decks: Numerical Analysis Assisted by Field Test Results

Author

De Domenico, Dario, Messina, Davide, Recupero, Antonino, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Calabrò, Francesco, editor, Della Spina, Lucia, editor, and Piñeira Mantiñán, María José, editor

Published
2022
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19. Seismic Retrofitting of Prestressed Concrete Bridges Through Friction Pendulum Isolation Bearings

Author

De Domenico, Dario, Sciutteri, Silvia, D’Arrigo, Antonio, Ricciardi, Giuseppe, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Pellegrino, Carlo, editor, Faleschini, Flora, editor, Zanini, Mariano Angelo, editor, Matos, José C., editor, Casas, Joan R., editor, and Strauss, Alfred, editor

Published
2022
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20. Are Bridges Safe Under Near-Fault Pulse-Type Ground Motions Considering the Vertical Component?

Author

Jami, Matin, Elias, Said, Rupakhety, Rajesh, De Domenico, Dario, Falsone, Giovanni, Ricciardi, Giuseppe, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Pellegrino, Carlo, editor, Faleschini, Flora, editor, Zanini, Mariano Angelo, editor, Matos, José C., editor, Casas, Joan R., editor, and Strauss, Alfred, editor

Published
2022
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29. Experimental Investigation on the Bond Behavior of FRCM-Concrete Interface via Digital Image Correlation

Author

De Domenico, Dario, Quattrocchi, Antonino, Urso, Santi, Alizzio, Damiano, Montanini, Roberto, Ricciardi, Giuseppe, Recupero, Antonino, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Rizzo, Piervincenzo, editor, and Milazzo, Alberto, editor

Published
2021
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45. Machine Learning-Based Prediction Models for Punching Shear Strength of Fiber-Reinforced Polymer Reinforced Concrete Slabs Using a Gradient-Boosted Regression Tree.

Author

Abood, Emad A., Abdallah, Marwa Hameed, Alsaadi, Mahmood, Imran, Hamza, Bernardo, Luís Filipe Almeida, De Domenico, Dario, and Henedy, Sadiq N.

Subjects
CONSTRUCTION slabs, STANDARD deviations, MACHINE learning, FIBER-reinforced plastics, SHEAR strength, CONCRETE slabs
Abstract

Fiber-reinforced polymers (FRPs) are increasingly being used as a composite material in concrete slabs due to their high strength-to-weight ratio and resistance to corrosion. However, FRP-reinforced concrete slabs, similar to traditional systems, are susceptible to punching shear failure, a critical design concern. Existing empirical models and design provisions for predicting the punching shear strength of FRP-reinforced concrete slabs often exhibit significant bias and dispersion. These errors highlight the need for more reliable predictive models. This study aims to develop gradient-boosted regression tree (GBRT) models to accurately predict the shear strength of FRP-reinforced concrete panels and to address the limitations of existing empirical models. A comprehensive database of 238 sets of experimental results for FRP-reinforced concrete slabs has been compiled from the literature. Different machine learning algorithms were considered, and the performance of GBRT models was evaluated against these algorithms. The dataset was divided into training and testing sets to verify the accuracy of the model. The results indicated that the GBRT model achieved the highest prediction accuracy, with root mean square error (RMSE) of 64.85, mean absolute error (MAE) of 42.89, and coefficient of determination (R2) of 0.955. Comparative analysis with existing experimental models showed that the GBRT model outperformed these traditional approaches. The SHapley Additive exPlanation (SHAP) method was used to interpret the GBRT model, providing insight into the contribution of each input variable to the prediction of punching shear strength. The analysis emphasized the importance of variables such as slab thickness, FRP reinforcement ratio, and critical section perimeter. This study demonstrates the effectiveness of the GBRT model in predicting the punching shear strength of FRP-reinforced concrete slabs with high accuracy. SHAP analysis elucidates key factors that influence model predictions and provides valuable insights for future research and design improvements. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Operator Splits and Multiscale Methods in Computational Dynamics

Author

Askes, Harm, De Domenico, Dario, Xu, Mingxiu, Gitman, Inna M., Bennett, Terry, Aifantis, Elias C., Golden, Ken, Series Editor, Lewis, Mark, Series Editor, Nishiura, Yasumasa, Series Editor, Tribbia, Joseph, Series Editor, Zubelli, Jorge Passamani, Series Editor, Berezovski, Arkadi, editor, and Soomere, Tarmo, editor

Published
2019
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