Fields of study
Academic disciplines
Building, construction and transport technology Building materials Construction technology
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
Countries
Research groups
Research projects
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HYPERION project
HYPERION will produce a comprehensive tool to assess threats of climate change in tandem with other natural hazards to cultural heritage sites.
Publications and research
Scientific publications
Jiménez Rios, Alejandro; Ruiz-Capel, Samuel; Plevris, Vagelis; Nogal, Maria
(2023).
Computational Methods Applied to Earthen Historical Structures.
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.
Frontiers in Built Environment.
https://doi.org/10.3389/fbuil.2023.1176621
Solorzano, German; Plevris, Vagelis
(2023).
An Open-Source Framework for Modeling RC Shear Walls Using Deep Neural Networks.
Advances in Civil Engineering.
Vol. 2023.
https://doi.org/10.1155/2023/7953869
Shabani, Amirhosein; Kioumarsi, Mahdi; Plevris, Vagelis
(2023).
Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations.
Frontiers of Structural and Civil Engineering (FSCE).
https://doi.org/10.1007/s11709-023-0972-z
Ben Seghier, Mohamed El Amine; Plevris, Vagelis; Ramirez, German Solorzano
(2022).
Random forest-based algorithms for accurate evaluation of ultimate bending capacity of steel tubes.
12 p.
Structures.
Vol. 44.
https://doi.org/10.1016/j.istruc.2022.08.007
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
Shabani, Amirhosein; Skamantzari, Margarita; Tapinaki, Sevasti; Georgopoulos, Andreas; Plevris, Vagelis; Kioumarsi, Mahdi
(2022).
3D simulation models for developing digital twins of heritage structures: challenges and strategies.
Procedia Structural Integrity.
Vol. 37.
https://doi.org/10.1016/j.prostr.2022.01.090
Plevris, Vagelis; Ramirez, German Solorzano
(2022).
A Collection of 30 Multidimensional Functions for Global Optimization Benchmarking.
51 p.
Data.
Vol. 7.
https://doi.org/10.3390/data7040046
Plevris, Vagelis; Bakas, Nikolaos P.; Ramirez, German Solorzano
(2021).
Pure Random Orthogonal Search (PROS): A Plain and Elegant Parameterless Algorithm for Global Optimization.
28 p.
Applied Sciences.
Vol. 11.
https://doi.org/10.3390/app11115053
Gharehbaghi, Sadjad; Gandomi, Mostafa; Plevris, Vagelis; Gandomi, Amir H.
(2021).
Prediction of seismic damage spectra using computational intelligence methods.
16 p.
Computers & structures.
Vol. 253.
https://doi.org/10.1016/j.compstruc.2021.106584
