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Numerical Methods in Civil Engineering
Scopus
ISSN 2345-4296 · K. N. Toosi University of Technology · 280 articles in the index
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Delamination Detection by Numerical Modelling of End-Notched Flexure Tests on glass/epoxy composite beams
The detection of delamination is important for structural engineering applications for assessing the reliability of fiber-reinforced polymer (FRP) laminates, which could provide appreciable effects on the behavior of composite structures. Numerical investigation of interlaminar shear fracture (Mode…
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Analytical-numerical study of coupled shear panels with easy-yielding steel plates under the lateral loadings
In this study, the structural behavior of coupled shear panels with Easy-Yielding steel plates is thoroughly investigated. These advanced systems are designed to enhance energy dissipation while ensuring a controlled and predictable yielding mechanism in seismic-resistant structures. To this end…
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Full-Scale Evaluation of a Hospital Wastewater Treatment Plant Upgrade: Retrofit from Extended Aeration to Moving Bed Biofilm Reactor Technology
This study presents a full-scale before–after evaluation of upgrading the Nikan Hospital (Tehran, Iran) wastewater treatment plant from an Extended Aeration (EA) activated-sludge process to a Moving Bed Biofilm Reactor (MBBR) by retrofitting the existing aeration tank with Kaldnes K3 carriers (40%…
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An Interpretable Machine Learning Approach for Predicting Bearing Capacity of Driven Piles Using SHAP
Determination of the ultimate pile bearing capacity is still one of the major concerns in geotechnical engineering due to the complex interaction between soil and structure. This study employs interpretable machine learning models to provide precise predictions of pile capacities while identifying…
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Automated Detection of Pavement Fatigue Cracks with Deep Learning
This study uses advanced imaging techniques and deep learning algorithms to assess fatigue cracks through cyclic loading on asphalt specimens. Faster Region-Based Convolutional Neural Network (Faster R-CNN) and the You Only Look Once (YOLO) models were compared to detect fatigue cracks in…
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A Computer Vision Approach to Detecting Shear Buckling in Thin Steel Plates Using Real and Synthetic Datasets
In recent decades, numerous innovative methods have been developed to improve the quality, speed, cost-effectiveness, and efficiency of structural damage detection. Among these, computer vision has emerged as a an auspicious approach, particularly due to recent advancements in machine learning…
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PSO-Optimized Levenberg–Marquardt Neural Network for Predicting bond strength between concrete and corroded rebar
Rebar corrosion critically affects the durability of concrete structures, necessitating accurate prediction of bond strength between the concrete and corroded reinforcement. This study presents a novel hybrid approach, combining Monte Carlo simulations for systematic selection of the optimal…
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Soil Freezing Model in the Presence of Underground Inclusion Using Hybrid Boundary-Finite Element Method
In this study, a hybrid boundary-finite element approach is proposed for solving nonhomogeneous soil freezing models, including internal inclusions. In this regard, by dividing the nonhomogeneous model into homogeneous parts and applying the hybrid element approach to each part, the resultant…
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Comparison of numerical methods for the solution of Richards' equation in layered porous media
In this research, the advanced finite volume scheme of the Dual Discrete method has been used for the numerical modeling of Richards' equation. Three forms of Richards' equation, including head form, water content form, and mixed form with a modified Picard linearization, are developed and assessed…
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Numerical modeling of new Ductile concrete material as infill wall
In urban construction, the prevalent use of reinforced concrete (RC) with masonry infill is challenged by the brittle nature of traditional masonry, which significantly increases seismic vulnerabilities. This research introduces a novel solution: Ductile Lightweight Fiber-Reinforced Concrete (DLFC)…
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Numerical study of soil-structure interaction effects on the natural frequency of offshore wind turbines
Offshore wind turbines (OWT) are considered as one the most promising ways of harvesting green energies in the world. OWTs are dynamically sensitive as their loading frequency is close to their natural frequency, allowing a narrow band of frequency to avoid resonance. Therefore, precise estimation…
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Providing Models of the Compressive Strength of Square and Rectangular (S/R) Concrete Confined Using Genetic Programming
The accurate prediction of the compressive strength of FRP (Fiber-Reinforced Polymer)-confined is essential for structural engineers and designers. Several experimental studies have been conducted on concrete confined with FRP sheets. Different models in order to determine the compressive strength…
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Application of Artificial Neural Networks for Developing Temperature-Dependent Fragility Curves for Vulnerability Assessment of I-Girder Bridges
Although previous investigations have shown that a bridge’s overall capacity may remain largely intact after a fire, its seismic performance in the aftermath of such events remains poorly understood. The primary objective of this study is to investigate the influence of fire on the seismic…
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Predicting traffic flow between bike-sharing system stations: A case study of Chicago
Active transportation systems, such as bike-sharing systems, offer several advantages, notably their integration with public transportation networks, pollution reduction, congestion alleviation, and decreased fuel consumption. However, a major challenge for shared bicycle companies is the efficient…
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Impact of Wave Irregularity on Hydrodynamic Forces Acting on a Vertical Cylinder in the Persian Gulf
The development of marine structures for harnessing natural resources, especially clean energy technologies like offshore wind turbines, is crucial. Waves are a primary design force, significantly impacting the stability and performance of these structures. However, the lack of precise field data…
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Predictive Maintenance of HVAC Systems using Deep Learning for Optimized Building Energy Efficiency
Buildings consume approximately one-third of the world's energy, with the commercial and housing sectors' Heating, Ventilation, and Air Conditioning (HVAC) systems being the largest contributors to energy. Energy wastage is significant as a result of system faults, which indicates the importance of…
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Numerical Modeling of 3D Flow Field in a Seawater Intake System Study Case: Bandar Abbas Seawater Desalination Plant
This paper presents the findings of CFD analyses conducted to simulate the flow in the intake system of the Bandar Abbas seawater desalination plant. To accurately simulate turbulent flow with sudden strain rate, separating and circulating zones within the basin, the Reynolds Stress Model (RSM) was…
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Seismic Evaluation of Composite Steel Moment Frames with Brace Members and Rotational Friction Dampers under Near-Fault Earthquakes
Dampers are employed to improve the cyclic behavior of structures against wind- and earthquake-induced loads. Rotational friction dampers (RFDs) dissipate energy through reciprocal rotation. The present research investigates the behavior of steel frames with concretefilled columns under three…
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Uplift Capacity of Granular Pile Anchors in Clay Using Finite Element Limit Analysis
The granular pile anchor (GPA) is a relatively new and uncomplicated ground improvement technique that can support tensile loads effectively. In this study, the uplift capacity of GPAs embedded in clay was assessed using finite element limit analysis (FELA) with an adaptive mesh. The analysis…
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Evaluation of seismic performance of steel frames with Y-shape braces under far-field and near-field earthquakes
In this study, the finite element modeling of the Y-shape bracing system is initially developed and verified. Next, the seismic performance of steel frames with Y-shape braces under far-field and near-field earthquakes was evaluated. For this purpose, seismic analysis was performed using 12 seismic…