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Vagelis Plevris ORCID

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  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 December 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 (February 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 (January 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 (December 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 (June 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 (February 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 (February 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 (February 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 (February 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 October 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 (October 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 (February 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 (February 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 (January 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 May 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 (January 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 (February 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 (February 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 (March 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 (March 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 (July 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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