Browsing ODA Open Digital Archive by Author "Plevris, Vagelis"
Now showing items 1-20 of 38
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3D simulation models for developing digital twins of heritage structures: challenges and strategies
Shabani, Amirhosein; Skamantzari, Margarita; Tapinaki, Sevasti; Georgopoulos, Andreas; Plevris, Vagelis; Kioumarsi, Mahdi (Procedia Structural Integrity;Volume 37, 2022, Peer reviewed; Journal article, 2022-02-22)Structural vulnerability assessment of heritage structures is a pivotal part of a risk mitigation strategy for preserving these valuable assets for the nations. For this purpose, developing digital twins has gained much ... -
Analysis of structural effects due to ice formation inside hollow steel foundations
Ailenei, Robert (MABY;2020, Master thesis, 2020)This master thesis is written on behalf of Statnett SF, which is the system operator of the Norwegian power system. Statnett has developed a new type of foundation which requires less time to assemble and is more convenient ... -
ANN-based surrogate model for predicting the lateral load capacity of RC shear walls
Solorzano, German; Plevris, Vagelis (ECCOMAS Congress;8th European Congress on Computational Methods in Applied Sciences and Engineering, Conference object, 2022)Reinforced concrete (RC) shear walls are often used as the main lateral-resisting component in the seismic design of buildings. They provide a large percentage of the lateral stiffness of the structure, and therefore, they ... -
Bridge management through digital twin-based anomaly detection systems: A systematic review
Jiménez Rios, Alejandro; Plevris, Vagelis; Nogal, Maria (Peer reviewed; Journal article, 2023)Bridge infrastructure has great economic, social, and cultural value. Nevertheless, many of the infrastructural assets are in poor conservation condition as has been recently evidenced by the collapse of several bridges ... -
Chatbots Put to the Test in Math and Logic Problems: A Comparison and Assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard
Plevris, Vagelis; Papazafeiropoulos, George; Jiménez Rios, Alejandro (Peer reviewed; Journal article, 2023)In an age where artificial intelligence is reshaping the landscape of education and problem solving, our study unveils the secrets behind three digital wizards, ChatGPT-3.5, ChatGPT-4, and Google Bard, as they engage in a ... -
A Collection of 30 Multidimensional Functions for Global Optimization Benchmarking
Plevris, Vagelis; Ramirez, German Solorzano (Data;, Peer reviewed; Journal article, 2022)A collection of thirty mathematical functions that can be used for optimization purposes is presented and investigated in detail. The functions are defined in multiple dimensions, for any number of dimensions, and can be ... -
A comparative study of differential evolution variants in constrained structural optimization
Georgioudakis, Manolis; Plevris, Vagelis (Frontiers in Built Environment;Volume 6 | Article 102, Journal article; Peer reviewed, 2020-07-09)Differential evolution (DE) is a population-based metaheuristic search algorithm that optimizes a problem by iteratively improving a candidate solution based on an evolutionary process. Such algorithms make few or no ... -
Computational intelligence methods in simulation and modeling of structures: A state-of-the-art review using bibliometric maps
Ramirez, German Solorzano; Plevris, Vagelis (Peer reviewed; Journal article, 2022)The modeling and simulation of structural systems is a task that requires high precision and reliable results to ensure the stability and safety of construction projects of all kinds. For many years now, structural engineers ... -
Computational Methods Applied to Earthen Historical Structures
Jiménez Rios, Alejandro; Ruiz-Capel, Samuel; Plevris, Vagelis; Nogal, Maria (Peer reviewed; Journal article, 2023)Earthen structures have an important representation among the UNESCO World Heritage List sites as well as among the built environment in general. Unfortunately, earthen heritage structures are also numerous within the ... -
Computational structural engineering: Past achievements and future challenges
Plevris, Vagelis; Tsiatas, George C. (Frontiers in Built Environment;Volume 4, Article 21, Journal article; Peer reviewed, 2018-04-10) -
Cost-Based optimum design of reinforced concrete retaining walls considering different methods of bearing capacity computation
Moayyeri, Neda; Gharehbaghi, Sadjad; Plevris, Vagelis (Mathematics;7(12), Journal article; Peer reviewed, 2019)This paper investigates the effect of computing the bearing capacity through different methods on the optimum construction cost of reinforced concrete retaining walls (RCRWs). Three well-known methods of Meyerhof, Hansen, ... -
Design of RC Sections with Single Reinforcement According to EC2-1-1 and the Rectangular Stress Distribution
Plevris, Vagelis; Papazafeiropoulos, George (Computational Methods in Applied Sciences;44, Journal article; Peer reviewed, 2017)Nowadays, the design of concrete structures in Europe is governed by the application of Eurocode 2 (EC2). In particular, EC2 — Part 1-1 deals with the general rules and the rules for concrete buildings. An important ... -
Design of Reinforced Concrete Isolated Footings Under Axial Loading with Artificial Neural Networks
Ramirez, German Solorzano; Plevris, Vagelis (EUROGEN;Proceedings of the 14th International Conference on Evolutionary and Deterministic Methods For Design, Optimization and Control, Conference object, 2021)In engineering practice, the design of structural elements is a repetitive task that has proven to be difficult to fully automate. This is mainly because of the complex relations of the design variables and the multiple ... -
DNN-MLVEM: A Data-Driven Macromodel for RC Shear Walls Based on Deep Neural Networks
Solorzano, German; Plevris, Vagelis (Peer reviewed; Journal article, 2023)This study proposes the DNN-MVLEM, a novel macromodel for the non-linear analysis of RC shear walls based on deep neural networks (DNN); while most RC shear wall macromodeling techniques follow a deterministic approach to ... -
Editorial: Innovative approaches in computational structural engineering
George, Tsiatas; Plevris, Vagelis (Frontiers in Built Environment;Volume 6 | Article 39, Journal article; Peer reviewed, 2020-04-08) -
Educational Challenges in Computer-based Finite Element Analysis and Design of structures
Plevris, Vagelis; Markeset, Gro (Journal of Computer Science;Volume 14, Issue 10, Journal article; Peer reviewed, 2018-10-26)Computer simulations and computational methods, such as the Finite Element Analysis (FEA) have become essential methodologies in science and engineering during the last decades, in a wide variety of academic fields. Six ... -
Explainable ensemble learning framework for estimating corrosion rate in suspension bridge main cables
Jiménez Rios, Alejandro; Seghier, Mohamed El Amine Ben; Plevris, Vagelis; Dai, Jian (Peer reviewed; Journal article, 2024)Ensuring the safe operation of suspension bridges is paramount to prevent unwanted events that can cause failures. Therefore, it is crucial to continuously monitor their operational status to uphold safety and reliability ... -
Investigation of performance metrics in regression analysis and machine learning-based prediction models
Plevris, Vagelis; Solorzano, German; Bakas, Nikolaos P.; Ben Seghier, Mohamed El Amine (ECCOMAS Congress;8th European Congress on Computational Methods in Applied Sciences and Engineering, Conference object, 2022-11-24)Performance metrics (Evaluation metrics or error metrics) are crucial components of regression analysis and machine learning-based prediction models. A performance metric can be defined as a logical and mathematical construct ... -
Investigation of the performance of various modal correlation criteria in structural damage identification
Georgioudakis, Manolis; Plevris, Vagelis (Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering;2016, Chapter; Peer reviewed, 2016)Structural damage identification is a scientific field that has attracted a lot of interest in the scientific community during the recent years. There have been many studies intending to find a reliable method to identify ... -
Literature review of masonry structures under earthquake excitation utilizing machine learning algorithms
Plevris, Vagelis; Bakas, Nikos; Markeset, Gro; Bellos, John (Chapter; Peer reviewed, 2017)This work aims to analyze and reveal critical features of the papers published since 1990 on the topic of masonry structures under earthquake loading. In particular, detailed information for nearly three ...