Fagområder
Vitenskapsdisipliner
Bygg-, anleggs- og transportteknologi Bygningsmaterialer Konstruksjonsteknologi
Emner
Jordskjelvrisiko Konstruksjonsanalyse Nevrale nettverk Stabilitet av konstruksjoner Elementmetoder Bygg og anlegg Oppførsel til stålrammer Betongkonstruksjoner Ant Colony Optimization Ingeniørdidaktikk Optimalisering Beregningsvitenskap Computer aided engineering Multi-Objective Optimization
Land
Forskningsgrupper
Forskningsprosjekter
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HYPERION
HYPERION vil produsere et avansert verktøy for å vurdere trusler om klimaendringer i takt med andre naturlige farer for kulturminner.
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Shabani, Amirhosein; Kioumarsi, Mahdi; Plevris, Vagelis
(2023).
Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations.
15 s.
Frontiers of Structural and Civil Engineering (FSCE).
Vol. 17.
https://doi.org/10.1007/s11709-023-0972-z
Solorzano, German; Plevris, Vagelis
(2023).
An Open-Source Framework for Modeling RC Shear Walls Using Deep Neural Networks.
17 s.
Advances in Civil Engineering.
Vol. 2023.
https://doi.org/10.1155/2023/7953869
Jiménez Rios, Alejandro; Plevris, Vagelis; Nogal, Maria
(2023).
Bridge management through digital twin-based anomaly detection systems: A systematic review.
18 s.
Frontiers in Built Environment.
Vol. 9.
https://doi.org/10.3389/fbuil.2023.1176621
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
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.
21 s.
AI.
Vol. 4.
https://doi.org/10.3390/ai4040048
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. (Red.).
Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Science and Engineering Held in Athens, Greece 12-14 June 2023. s. 39-47.
European Community on Computional Methods in Applied Sciences (ECCOMAS).
https://doi.org/10.7712/120223.10323.20020
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. (Red.).
Proceedings of the 9th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Held in Athens, Greece 12-14 June 2023. s. 4801-4809.
European Community on Computional Methods in Applied Sciences (ECCOMAS).
https://doi.org/10.7712/120123.10760.21262
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 s.
Structures.
Vol. 44.
https://doi.org/10.1016/j.istruc.2022.08.007
Plevris, Vagelis; Ramirez, German Solorzano
(2022).
A Collection of 30 Multidimensional Functions for Global Optimization Benchmarking.
51 s.
Data.
Vol. 7.
https://doi.org/10.3390/data7040046
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
