Fields of study
Academic disciplines
Mathematics and natural scienses Construction technology Building materials
Subject areas
Earthquake hazard Structural analysis Neural networks Stability of structures Finite element methods Civil engineering Steel frame behaviour Concrete structures Ant Colony Optimization Engineering education Optimization Computational Science Computer aided engineering Multi-Objective Optimization
Research groups
Publications and research
Scientific publications
Jiménez Rios, Alejandro; Nogal, Maria;
Plevris, Vagelis
; Ramirez, Rafael; Petrou, Margarita L.
(2024).
Towards Enhanced Built Cultural Heritage Conservation Practices: Perceptions on Industry 5.0 Principles and Enabling Technologies.
The Historic Environment.
Vol. 15.
https://doi.org/10.1080/17567505.2024.2429167
Shabani, Amirhosein
;
Kioumarsi, Mahdi
;
Plevris, Vagelis
(2023).
Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations.
15 p.
Frontiers of Structural and Civil Engineering (FSCE).
Vol. 17.
https://doi.org/10.1007/s11709-023-0972-z
Ehtisham, Rana; Qayyum, Waqas; Camp, Charles;
Plevris, Vagelis
; Junaid, Mir; Khan, Qaiser-uz; Ahmad, Afaq
(2023).
Computing the characteristics of defects in wooden structures using image processing and CNN.
Automation in Construction.
https://doi.org/10.1016/j.autcon.2023.105211
Jiménez Rios, Alejandro;
Plevris, Vagelis
; Nogal, Maria
(2023).
Synthetic data generation for the creation of bridge digital twins what-if scenarios.
Papadrakakis, M.; Fragiadakis, M. (Ed.).
Proceedings of the 9th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Held in Athens, Greece 12-14 June 2023. p. 4801-4809.
European Community on Computional Methods in Applied Sciences (ECCOMAS).
https://doi.org/10.7712/120123.10760.21262
Jiménez Rios, Alejandro;
Plevris, Vagelis
; Nogal, Maria
(2023).
Uncertainties in the synthetic data generation for the creation of bridge digital twins.
Papadrakakis, M.; Papadopoulos, V.; Stefanou, G. (Ed.).
Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering Held in Athens, Greece 12-14 June 2023. p. 39-47.
European Community on Computional Methods in Applied Sciences (ECCOMAS).
https://doi.org/10.7712/120223.10323.20020
Plevris, Vagelis
; Papazafeiropoulos, George; Jiménez Rios, Alejandro
(2023).
Chatbots Put to the Test in Math and Logic Problems: A Comparison and Assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard.
20 p.
AI.
Vol. 4.
https://doi.org/10.3390/ai4040048
Solorzano, German;
Plevris, Vagelis
(2023).
An Open-Source Framework for Modeling RC Shear Walls Using Deep Neural Networks.
17 p.
Advances in Civil Engineering.
Vol. 2023.
https://doi.org/10.1155/2023/7953869
Jiménez Rios, Alejandro; Ruiz-Capel, Samuel;
Plevris, Vagelis
; Nogal, Maria
(2023).
Computational Methods Applied to Earthen Historical Structures.
7 p.
Frontiers in Built Environment.
https://doi.org/10.3389/fbuil.2023.1219108
Jiménez Rios, Alejandro;
Plevris, Vagelis
; Nogal, Maria
(2023).
Bridge management through digital twin-based anomaly detection systems: A systematic review.
18 p.
Frontiers in Built Environment.
Vol. 9.
https://doi.org/10.3389/fbuil.2023.1176621
Kioumarsi, Mahdi
;
Plevris, Vagelis
;
Shabani, Amirhosein
(2022).
Vulnerability assessment of cultural heritage structures.
Kvamsdal, Trond; Mathisen, Kjell Magne; Lie, Knut-Andreas; Larson, Mats G. (Ed.).
8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2022).
European Community on Computional Methods in Applied Sciences (ECCOMAS).
https://doi.org/10.23967/eccomas.2022.294
