College of Engineering: المرسلات الحديثة
السجلات المعروضة 201 -- 220 من 8477
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The Mosaic of Metaheuristic Algorithms in Structural Optimization
( Springer , 2022 , Article Review)Metaheuristic optimization algorithms (MOAs) represent powerful tools for dealing with multi-modal nonlinear optimization problems. The considerable attention that MOAs have received over the last decade and especially ... -
On the modeling of the annual corrosion rate in main cables of suspension bridges using combined soft computing model and a novel nature-inspired algorithm
( Springer , 2021 , Article)Suspension bridges are critical components of transport infrastructure around the world. Therefore, their operating conditions should be effectively monitored to ensure their safety and reliability. However, the main cables ... -
Novel hybrid informational model for predicting the creep and shrinkage deflection of reinforced concrete beams containing GGBFS
( Springer , 2022 , Article)This study investigates a Novel Hybrid Informational model for the prediction of creep and shrinkage deflection of reinforced concrete (RC) beams containing different percentages of ground granulated blast furnace slag ... -
Investigation of the Static Bending Response of FGM Sandwich Plates
( Shahid Chamran University of Ahvaz , 2024 , Article)In the present work, a displacement-based high-order shear deformation theory is introduced for the static response of functionally graded plates. The present theory is variationally consistent and strongly similar to the ... -
ITSO: a novel inverse transform sampling-based optimization algorithm for stochastic search
( Springer , 2022 , Article)Optimization algorithms appear in the core calculations of numerous Artificial Intelligence (AI) and Machine Learning methods and Engineering and Business applications. Following recent works on AI's theoretical deficiencies, ... -
INVESTIGATION OF PERFORMANCE METRICS IN REGRESSION ANALYSIS AND MACHINE LEARNING-BASED PREDICTION MODELS
( Scipedia S.L. , 2022 , Conference Paper)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 ... -
ANN-BASED SURROGATE MODEL FOR PREDICTING THE LATERAL LOAD CAPACITY OF RC SHEAR WALLS
( Scipedia S.L. , 2022 , Conference Paper)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 ... -
VULNERABILITY ASSESSMENT OF CULTURAL HERITAGE STRUCTURES
( Scipedia S.L. , 2022 , Conference Paper)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 ... -
INVESTIGATING THE IMPACT OF POROSITY DISTRIBUTION AND GRADING PARAMETER ON THE FREE VIBRATION OF FUNCTIONALLY GRADED BEAMS
( National Technical University of Athens , 2023 , Conference Paper)This study focuses on investigating the free vibration of porous functionally graded (FG) beams and the impact of porosity distribution on the properties and performance of materials. To achieve this, the study assumes ... -
SYNTHETIC DATA GENERATION FOR THE CREATION OF BRIDGE DIGITAL TWINS WHAT-IF SCENARIOS
( National Technical University of Athens , 2023 , Conference Paper)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
( National Technical University of Athens , 2023 , Conference Paper)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, ... -
USING ARTIFICIAL INTELLIGENCE TECHNIQUES FOR THE ACCURATE ESTIMATION OF THE ULTIMATE PURE BENDING OF STEEL CIRCULAR TUBES
( Scipedia S.L. , 2022 , Conference Paper)In this paper, the potential of building more accurate and robust models for the prediction of the ultimate pure bending capacity of steel circular tubes using artificial intelligence techniques is investigated. Therefore, ... -
OpenSeismoMatlab: New Features, Verification and Charting Future Endeavors
( MDPI , 2024 , Article)To facilitate the precise design of earthquake-resistant structures, it is imperative to accurately evaluate the impact of seismic events on these constructions and predict their responses. OpenSeismoMatlab, a robust, free ... -
A Collection of 30 Multidimensional Functions for Global Optimization Benchmarking
( MDPI , 2022 , Article)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 ... -
Chatbots Put to the Test in Math and Logic Problems: A Comparison and Assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard
( MDPI , 2023 , Article)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 ... -
Predicting Crack Width in CFRP-Strengthened RC One-Way Slabs Using Hybrid Grey Wolf Optimizer Neural Network Model
( MDPI , 2022 , Article)This study deploys a hybrid Grey Wolf Optimizer Neural Network Model for predicting the crack width in reinforced concrete slabs strengthened with carbon fiber-reinforced polymers (CFRP). Reinforced concrete (RC) one-way ... -
Multi-Directional Functionally Graded Sandwich Plates: Buckling and Free Vibration Analysis with Refined Plate Models under Various Boundary Conditions
( MDPI , 2024 , Article)This study conducts buckling and free vibration analyses of multi-directional functionally graded sandwich plates subjected to various boundary conditions. Two scenarios are considered: a functionally graded (FG) skin with ... -
DNN-MLVEM: A Data-Driven Macromodel for RC Shear Walls Based on Deep Neural Networks
( MDPI , 2023 , Article)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 ... -
Bibliometric Literature Review of Adaptive Learning Systems
( MDPI , 2022 , Article)In this review paper, we computationally analyze a vast volume of published articles in the field of Adaptive Learning, as obtained by the Scopus Database. Particularly, we use a query with search terms targeting the area ... -
Response Spectrum Analysis of Multi-Story Shear Buildings Using Machine Learning Techniques
( MDPI , 2023 , Article)The dynamic analysis of structures is a computationally intensive procedure that must be considered, in order to make accurate seismic performance assessments in civil and structural engineering applications. To avoid these ...
