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Vagelis Plevris ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Jiménez Rios, Alejandro / L. Petrou, Margarita / Ramírez, Rafael / Plevris, Vagelis / Nogal, Maria (2024): Industry 5.0, towards an enhanced built cultural heritage conservation practice. In: Journal of Building Engineering, v. 96 (November 2024).

    https://doi.org/10.1016/j.jobe.2024.110542

  2. Ben Seghier, Mohamed El Amine / Plevris, Vagelis (2023): Application of machine learning approaches for modelling crack growth rates. In: ce/papers, v. 6, n. 3-4 (September 2023).

    https://doi.org/10.1002/cepa.2639

  3. Papazafeiropoulos, George / Plevris, Vagelis (2023): OpenSeismoMatlab: New Features, Verification and Charting Future Endeavors. In: Buildings, v. 14, n. 1 (31 Dezember 2023).

    https://doi.org/10.3390/buildings14010304

  4. Ehtisham, Rana / Qayyum, Waqas / Camp, Charles V. / Plevris, Vagelis / Mir, Junaid / Khan, Qaiser-uz Zaman / Ahmad, Afaq (2024): Computing the characteristics of defects in wooden structures using image processing and CNN. In: Automation in Construction, v. 158 (Februar 2024).

    https://doi.org/10.1016/j.autcon.2023.105211

  5. Wakjira, Tadesse G. / Abushanab, Abdelrahman / Shahria Alam, M. / Alnahhal, Wael / Plevris, Vagelis (2024): Explainable machine learning-aided efficient prediction model and software tool for bond strength of concrete with corroded reinforcement. In: Structures, v. 59 (Januar 2024).

    https://doi.org/10.1016/j.istruc.2023.105693

  6. Ehtisham, Rana / Qayyum, Waqas / Camp, Charles V. / Plevris, Vagelis / Mir, Junaid / Khan, Qaiser-uz Zaman / Ahmad, Afaq (2023): Classification of defects in wooden structures using pre-trained models of convolutional neural network. In: Case Studies in Construction Materials, v. 19 (Dezember 2023).

    https://doi.org/10.1016/j.cscm.2023.e02530

  7. de Macêdo Wahrhaftig, Alexandre / Plevris, Vagelis / Abdullah Mohamad, Barhm / Lopes Pereira, Dagoberto (2023): Minimum design bending moment for systems of equivalent stiffness. In: Structures, v. 57 (November 2023).

    https://doi.org/10.1016/j.istruc.2023.105224

  8. Shabani, Amirhosein / Kioumarsi, Mahdi / Plevris, Vagelis (2023): Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations. In: Frontiers of Structural and Civil Engineering, v. 17, n. 6 (Juni 2023).

    https://doi.org/10.1007/s11709-023-0972-z

  9. Solorzano, German / Plevris, Vagelis (2023): An Open-Source Framework for Modeling RC Shear Walls Using Deep Neural Networks. In: Advances in Civil Engineering, v. 2023 (Februar 2023).

    https://doi.org/10.1155/2023/7953869

  10. Jiménez Rios, Alejandro / Ruiz-Capel, Samuel / Plevris, Vagelis / Nogal, Maria (2023): Computational methods applied to earthen historical structures. In: Frontiers in Built Environment, v. 9 (Februar 2023).

    https://doi.org/10.3389/fbuil.2023.1219108

  11. Jiménez Rios, Alejandro / Plevris, Vagelis / Nogal, Maria (2023): Bridge management through digital twin-based anomaly detection systems: A systematic review. In: Frontiers in Built Environment, v. 9 (Februar 2023).

    https://doi.org/10.3389/fbuil.2023.1176621

  12. Papazafeiropoulos, George / Plevris, Vagelis (2023): Kahramanmaraş—Gaziantep, Türkiye Mw 7.8 Earthquake on 6 February 2023: Strong Ground Motion and Building Response Estimations. In: Buildings, v. 13, n. 5 (27 April 2023).

    https://doi.org/10.3390/buildings13051194

  13. Nekouei, Ghazal / Oskouei, Asghar Vatani / Gharehbaghi, Sadjad / Plevris, Vagelis (2023): Seismic response modification, over-strength, and displacement amplification factors of steel special truss moment frames. In: Asian Journal of Civil Engineering, v. 24, n. 7 (April 2023).

    https://doi.org/10.1007/s42107-023-00661-x

  14. Solorzano, German / Plevris, Vagelis (2022): Computational intelligence methods in simulation and modeling of structures: A state-of-the-art review using bibliometric maps. In: Frontiers in Built Environment, v. 8 (Februar 2022).

    https://doi.org/10.3389/fbuil.2022.1049616

  15. Razavi Tosee, Seyed Vahid / Faridmehr, Iman / Nehdi, Moncef L. / Plevris, Vagelis / Valerievich, Kiyanets A. (2022): Predicting Crack Width in CFRP-Strengthened RC One-Way Slabs Using Hybrid Grey Wolf Optimizer Neural Network Model. In: Buildings, v. 12, n. 11 (27 Oktober 2022).

    https://doi.org/10.3390/buildings12111870

  16. Ben Seghier, Mohamed El Amine / Plevris, Vagelis / Solorzano, German (2022): Random forest-based algorithms for accurate evaluation of ultimate bending capacity of steel tubes. In: Structures, v. 44 (Oktober 2022).

    https://doi.org/10.1016/j.istruc.2022.08.007

  17. Plevris, Vagelis / Lagaros, Nikos D. / Zeytinci, Ahmet (2022): Blockchain in Civil Engineering, Architecture and Construction Industry: State of the Art, Evolution, Challenges and Opportunities. In: Frontiers in Built Environment, v. 8 (Februar 2022).

    https://doi.org/10.3389/fbuil.2022.840303

  18. Lu, Xinzheng / Plevris, Vagelis / Tsiatas, George / De Domenico, Dario (2022): Artificial Intelligence-Powered Methodologies and Applications in Earthquake and Structural Engineering. In: Frontiers in Built Environment, v. 8 (Februar 2022).

    https://doi.org/10.3389/fbuil.2022.876077

  19. Imran Waris, Muhammad / Plevris, Vagelis / Mir, Junaid / Chairman, Nida / Ahmad, Afaq (2022): An alternative approach for measuring the mechanical properties of hybrid concrete through image processing and machine learning. In: Construction and Building Materials, v. 328 (April 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.126899

  20. Gharehbaghi, Sadjad / Gandomi, Mostafa / Plevris, Vagelis / Gandomi, Amir H. (2021): Prediction of seismic damage spectra using computational intelligence methods. In: Computers & Structures, v. 253 (September 2021).

    https://doi.org/10.1016/j.compstruc.2021.106584

  21. Georgioudakis, Manolis / Plevris, Vagelis (2020): A Comparative Study of Differential Evolution Variants in Constrained Structural Optimization. In: Frontiers in Built Environment, v. 6 (Januar 2020).

    https://doi.org/10.3389/fbuil.2020.00102

  22. Solorzano, German / Plevris, Vagelis (2020): Optimum Design of RC Footings with Genetic Algorithms According to ACI 318-19. In: Buildings, v. 10, n. 6 (26 Mai 2020).

    https://doi.org/10.3390/buildings10060110

  23. Tsiatas, George C. / Plevris, Vagelis (2020): Innovative Approaches in Computational Structural Engineering. In: Frontiers in Built Environment, v. 6 (Januar 2020).

    https://doi.org/10.3389/fbuil.2020.00039

  24. Plevris, Vagelis / Papadrakakis, Manolis (2011): A Hybrid Particle Swarm-Gradient Algorithm for Global Structural Optimization. In: Computer-Aided Civil and Infrastructure Engineering, v. 26, n. 1 ( 2011).

    https://doi.org/10.1111/j.1467-8667.2010.00664.x

  25. Plevris, Vagelis / Tsiatas, George C. (2019): Computational Structural Engineering: Past Achievements and Future Challenges. In: Frontiers in Built Environment, v. 4 (Februar 2019).

    https://doi.org/10.3389/fbuil.2018.00021

  26. Papazafeiropoulos, George / Plevris, Vagelis / Papadrakakis, Manolis (2018): A New Energy-Based Structural Design Optimization Concept under Seismic Actions. In: Frontiers in Built Environment, v. 3 (Februar 2018).

    https://doi.org/10.3389/fbuil.2017.00044

  27. Papadrakakis, Manolis / Lagaros, Nikos D. / Plevris, Vagelis (2001): Optimum Design of Space Frames Under Seismic Loading. In: International Journal of Structural Stability and Dynamics, v. 1, n. 1 (März 2001).

    https://doi.org/10.1142/s0219455401000093

  28. Plevris, Vagelis / Asteris, Panagiotis G. (2014): Modeling of masonry failure surface under biaxial compressive stress using Neural Networks. In: Construction and Building Materials, v. 55 (März 2014).

    https://doi.org/10.1016/j.conbuildmat.2014.01.041

  29. Papazafeiropoulos, George / Plevris, Vagelis / Papadrakakis, Manolis (2016): A generalized algorithm framework for non-linear structural dynamics. In: Bulletin of Earthquake Engineering, v. 15, n. 1 (Juli 2016).

    https://doi.org/10.1007/s10518-016-9974-8

  30. Georgioudakis, Manolis / Plevris, Vagelis (2018): A Combined Modal Correlation Criterion for Structural Damage Identification with Noisy Modal Data. In: Advances in Civil Engineering, v. 2018 ( 2018).

    https://doi.org/10.1155/2018/3183067

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