Research Title | MAG. TITLE | RESEARCH AREA | PUBLISH YEAR | DOI | Journal URL |
A comparative study of LightGBM, XGBoost, and GEP models in shear strength management of SFRC-SBWS | Structures | Construction Management | 2024 | |
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Finite Element Modelling of Circular Concrete-Filled Steel Tubular Columns Under Quasi-Static Axial Compression Loading | Journal of Composites Science | Structural Engineering | 2024 | |
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Shear Strength of Steel Fiber-Reinforced Concrete Beams and One-Way Slabs | ACI Structural Journal | Structural Engineering | 2024 | |
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A Horizontal Stiffener Detailing for Shear Links at the Link-to-Column Connection in Eccentrically Braced Frames | Journal of Structural Engineering | Structural Engineering | 2023 | |
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A New Reinforcing Configuration for Achieving High-Ductility and High-Strength Rectangular Squat Structural Walls | ACI Structural Journal | Structural Engineering | 2023 | |
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A comparative study of shear strength prediction models for SFRC deep beams without stirrups using Machine learning algorithms | Structures | Construction Management | 2023 | |
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Automated analysis and design for recycled aggregate reinforced concrete beams | Structural concrete | Structural engineering | 2023 | |
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Data-driven machine learning methodology for designing slender FRP-RC columns | Structures | Structural Engineering | 2023 | |
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Exploring the efficacy of machine learning models for predicting soil radon exhalation rates | Stochastic Environmental Research and Risk Assessment | Machine Learning | 2023 | |
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Fatigue behavior of unidirectional fiber-reinforced pultruded composites with high volume fiber fraction | Fatigue and Fracture of Engineering Materials and Structures | Structural Engineering | 2023 | |
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Hybrid Data-Driven Machine Learning Framework for Determining Prestressed Concrete Losses | Arabian Journal for Science and Engineering | Structural Engineering | 2023 | |
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Machine learning-based models for predicting the shear strength of synthetic fiber reinforced concrete beams without stirrups | Structures | Structural Engineering | 2023 | |
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MachineLearningRegressionAlgorithmsforShearStrength PredictionofSFRC-DBs:PerformanceEvaluationandComparisons | Arabian Journal for Science and Engineering | Machine Learning and Civil Engineering | 2023 | |
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Modified Shear Design Model for Steel and Fiber- Reinforced Polymer-Reinforced Concrete Beams | ACI STRUCTURAL JOURNAL | Structural Engineering | 2023 | |
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Shear Strength Prediction of Concrete Beams Reinforced with FRP Bars and Stirrups Using Gene Expression Programming | sustainability | Structural engineering | 2023 | |
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Shear strength of circular concrete-filled tube (CCFT) members using human-guided artificial intelligence approach | Engineering Structures | Structural Engineering | 2023 | |
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Simple Truss Model to estimate the shear strength of short links in the Eccentrically Braced Frame (EBF) steel system | Thin-Walled Structures | Structural Engineering | 2023 | |
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Slope displacement detection in construction: An automated management algorithm for disaster prevention | Expert Systems With Applications | Construction Management | 2023 | |
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Structural performance of buried reinforced concrete pipelines under deep embankment soil | Construction Innovation | Structural Engineering | 2023 | |
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Sustainability of Using Steel Fibers in Reinforced Concrete Deep Beams without Stirrups | Sustainability | Structural Engineering | 2023 | |
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ColumnsNet: Neural Network Model for Constructing Interaction Diagrams and Slenderness Limit for FRP-RC Columns | Journal of Structural Engineering | Structural Engineering/ Fiber-reinforced concrete | 2022 | |
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Data-Driven Flexural Stiffness Model of FRP-Reinforced Concrete Slender Columns | Journal of Composites for Construction | Structural Engineering | 2022 | |
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Evaluating the Impact of External Support on Green Building Construction Cost: A Hybrid Mathematical and Machine Learning Prediction Approach | Buildings | Construction management | 2022 | |
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Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost Prediction | Sustainability | Construction management and building | 2022 | |
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Forecasting Liquidated Damages via Machine Learning-Based Modified Regression Models for Highway Construction Projects | Sustainability | Construction management | 2022 | |
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Gene expression model to estimate the overstrength ratio of short links | Structures | Structural Engineering | 2022 | |
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Machine Learning Algorithm for Shear Strength Prediction of Short Links for Steel Buildings | Buildings | Structural Engineering | 2022 | |
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Machine Learning Prediction Model for Shear Capacity of FRP-RC Slender and Deep Beams | Sustainability | Structural Engineering | 2022 | |
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Machine Learning-Based Model for Predicting the Shear Strength of Slender Reinforced Concrete Beams without Stirrups | Buildings | Construction management | 2022 | |
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Multiobjective and multivariable optimization for earthmoving equipment | Journal of Facilities Management | Construction management | 2022 | |
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Optimization of the Structural Performance of Buried Reinforced Concrete Pipelines in Cohesionless Soils | Materials | Construction management and infrastructure | 2022 | |
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Prediction Liquidated Damages via Ensemble Machine Learning Model: Towards Sustainable Highway Construction Projects | Sustainability | Construction management | 2022 | |
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Slenderness limit of FRP-confined rectangular concrete columns | Structures | structural engineering | 2022 | |
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You only design once (YODO): Gaussian Process-Batch Bayesian optimization framework for mixture design of ultra high performance concrete | Construction and Building Materials | Structural and material engineering | 2022 | |
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Effect of Fiber-Reinforced Polymer-Compression Reinforcement in Columns Subjected to Concentric and Eccentric Loading | ACI Structural Journal | Structural Engineering | 2021 | |
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Innovative and reliable model for shear strength of steel fibers reinforced concrete beams | Structures | Structural Engineering | 2021 | |
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Structural Behavior of Concrete Box Culverts under Deep Burial | Journal of Pipeline Systems Engineering and Practice | Structural Engineering | 2017 | |
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