Browsing TKD - Institutt for bygg- og energiteknikk by Author "Plevris, Vagelis"

Now showing items 21-33 of 33

    • An Open-Source Framework for Modeling RC Shear Walls Using Deep Neural Networks 

      Solorzano, German; Plevris, Vagelis (Peer reviewed; Journal article, 2023)
      Reinforced concrete (RC) shear walls macroscopic models are simplified strategies able to simulate the complex nonlinear behavior of RC shear walls to some extent, but their efficacy and robustness are limited. In contrast, ...

    • OpenSeismoMatlab: A new open-source software for strong ground motion data processing 

      Papazafeiropoulos, George; Plevris, Vagelis (Heliyon;Volume 4, Issue 9, Journal article; Peer reviewed, 2018-09-26)
      OpenSeismoMatlab is an innovative open-source software for strong ground motion data processing, written in MATLAB. The software implements an elastoplastic bilinear kinematic hardening constitutive model and uses a ...

    • Optimum Design of RC Footings with Genetic Algorithms According to ACI 318-19 

      Ramirez, German Solorzano; Plevris, Vagelis (Buildings;Volume 10, Issue 6, Journal article; Peer reviewed, 2020-06-11)
      Engineers usually use trial-and-error approaches for dealing with design problems where they need to find the most economical design of a structural element in terms of its material cost while satisfying all the safety ...

    • Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations 

      Shabani, Amirhosein; Kioumarsi, Mahdi; Plevris, Vagelis (Peer reviewed; Journal article, 2023)
      Seismic analysis of historical masonry bridges is important for authorities in all countries hosting such cultural heritage assets. The masonry arch bridge investigated in this study was built during the Roman period and ...

    • Prediction of properties of FRP-confined concrete cylinders based on artificial neural networks 

      Ahmad, Afaq; Plevris, Vagelis; Khan, Q. (Crystals;Volume 10, Issue 9, Journal article; Peer reviewed, 2020-09-14)
      Recently, the use of fiber-reinforced polymers (FRP)-confinement has increased due to its various favorable effects on concrete structures, such as an increase in strength and ductility. Therefore, researchers have been ...

    • Prediction of seismic damage spectra using computational intelligence methods 

      Gharehbaghi, Sadjad; Gandomi, Mostafa; Plevris, Vagelis; Gandomi, Amir H. (Computers & structures;, Peer reviewed; Journal article, 2021)
      Predicting seismic damage spectra, capturing both structural and earthquake features, is useful in performance-based seismic design and quantifying the potential seismic damage of structures. The objective of this paper ...

    • Prediction of the Eigenperiods of MDOF Shear Buildings Using Neural Networks 

      Plevris, Vagelis; Ramirez, German Solorzano (International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering;8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Conference object, 2021)
      The study of multi-degree of freedom (MDOF) systems is essential to evaluate and understand the seismic response of buildings. Through a MDOF idealization, the dynamic properties of the building such as its natural frequencies ...

    • A Preliminary Structural Survey of Heritage Timber Log Houses in Tønsberg, Norway 

      Shabani, Amirhosein; Hosamo, Haidar; Plevris, Vagelis; Kioumarsi, Mahdi (Conference object, 2021-11-29)
      The formulation of a multi-hazard loss model for a given structure is not only of interest for predicting the economic impact of future damage but it can also be of importance for risk mitigation. A methodology that can ...

    • Pure Random Orthogonal Search (PROS): A Plain and Elegant Parameterless Algorithm for Global Optimization 

      Plevris, Vagelis; Ramirez, German Solorzano (Applied Sciences;Volume 11 / Issue 11, Peer reviewed; Journal article, 2021-05-29)
      A new, fast, elegant, and simple stochastic optimization search method is proposed, which exhibits surprisingly good performance and robustness considering its simplicity. We name the algorithm pure random orthogonal search ...

    • Structural Vulnerability Assessment of Heritage Timber Buildings: A Methodological Proposal 

      Shabani, Amirhosein; Kioumarsi, Mahdi; Plevris, Vagelis; Stamatopoulos, Haris (Forests;Volume 11, Issue 8, Journal article; Peer reviewed, 2020-08-13)
      The conservation of heritage structures is pivotal not only due to their cultural or historical importance for nations, but also for understanding their construction techniques as a lesson that can be applied to contemporary ...

    • Synthetic data generation for the creation of bridge digital twins what-if scenarios 

      Jiménez Rios, Alejandro; Plevris, Vagelis; Nogal, Maria (Chapter; Peer reviewed; Conference object, 2023)
      The Digital Twin (DT) concept, as understood nowadays, appeared in the early 2000s as an attempt to create virtual replicas of physical assets, such as bridges, that can be used to examine, monitor and manage their ...

    • Uncertainties in the synthetic data generation for the creation of bridge digital twins 

      Jiménez Rios, Alejandro; Plevris, Vagelis; Nogal, Maria (Chapter; Peer reviewed; Conference object, 2023)
      Digital twins (DTs) are virtual replicas of physical assets that can be used to monitor and manage their performance. To date, the DT concept has been effectively implemented in various industries, including aeronautics, ...

    • Vulnerability assessment of cultural heritage structures 

      Kioumarsi, Mahdi; Plevris, Vagelis; Shabani, Amirhosein (ECCOMAS Congress;8th European Congress on Computational Methods in Applied Sciences and Engineering, Conference object, 2022)
      Cultural heritage (CH) assets are the legacy of a society that are inherited from the past generations and can give us lessons for contemporary construction. Not only the formally recognized CH assets but also the non-CH ...