Browsing by Author "Wakjira, Tadesse G."
Now showing items 1-14 of 14
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Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM
( Elsevier , 2022 , Article)This paper presents a data-driven approach to determine the load and flexural capacities of reinforced concrete (RC) beams strengthened with fabric reinforced cementitious matrix (FRCM) composites in flexure. A total of ... -
Explainable machine learning-aided efficient prediction model and software tool for bond strength of concrete with corroded reinforcement
( Elsevier , 2024 , Article)The bond strength between concrete and reinforcement is crucial for the composite action and serviceability of reinforced concrete (RC) structures. However, it is vulnerable to deterioration from the corrosion of reinforcement ... -
FAI: Fast, accurate, and intelligent approach and prediction tool for flexural capacity of FRP-RC beams based on super-learner machine learning model
( Elsevier , 2022 , Article)Fiber-reinforced polymer (FRP) composites have recently been considered in the field of structural engineering as one of the best alternatives to conventional steel reinforcement due to their high tensile strength, ... -
Flexural strengthening of reinforced concrete beams using hybrid near-surface embedded/externally bonded fabric-reinforced cementitious matrix
( Elsevier , 2020 , Article)The efficacy of hybrid near-surface embedded/externally bonded (NSE/EB) fabric-reinforced cementitious matrix (FRCM) for flexural strengthening of reinforced concrete (RC) beams was assessed experimentally. Bending tests ... -
Fractional factorial design model for seismic performance of RC bridge piers retrofitted with steel-reinforced polymer composites
( Elsevier , 2020 , Article)This study explores the effects of key design parameters on the performance of seismically deficient rectangular cross-section reinforced concrete (RC) bridge piers strengthened with steel-reinforced polymer (SRP) composites. ... -
Internal transverse reinforcement configuration effect of EB/NSE-FRCM shear strengthening of RC deep beams
( Elsevier Ltd , 2019 , Article)This paper presents an experimental study carried out on the structural performance of shear-critical reinforced concrete (RC) deep beams internally reinforced with two different stirrups configurations; i.e. aligned and ... -
Plastic hinge length of rectangular RC columns using ensemble machine learning model
( Elsevier , 2021 , Article)It is critical to properly define the plastic hinge region (the region that is exposed to maximum plastic deformation) of reinforced concrete (RC) columns to assess their performances in terms of ductility and energy ... -
Predictive Machine Learning Algorithms for Metro Ridership Based on Urban Land Use Policies in Support of Transit-Oriented Development
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)The endeavors toward sustainable transportation systems are a key concern for planners and decision-makers where increasing public transport attractiveness is essential. In this paper, a machine-learning-based predictive ... -
Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars
( Elsevier , 2023 , Article)Fiber-reinforced polymer (FRP) composites are increasingly used in concrete structures owing to their superior corrosion resistance. However, FRP-reinforced concrete (RC) structures exhibit less ductile response compared ... -
Shear behavior of RC beams strengthened with different types of FRCM: Effect of stirrups' configuration
( ISEC Press , 2019 , Conference)Fabric-reinforced cementitious matrix, (FRCM) system has shown to be promising for the strengthening of reinforced concrete (RC) beams. However, the available experimental investigation on the shear strengthening efficacy ... -
Shear capacity prediction of FRP-RC beams using single and ensenble ExPlainable Machine learning models
( Elsevier , 2022 , Article)Corrosion in steel reinforcement is a central issue behind the severe deterioration of existing reinforced concrete (RC) structures. Nowadays, fiber-reinforced polymer (FRP) is increasingly being used as a viable alternative ... -
Shear span-to-depth ratio effect on steel reinforced grout strengthened reinforced concrete beams
( Elsevier , 2020 , Article)The effect of the shear span-to-depth (a/d) ratio on the shear behavior of steel reinforced grout (SRG)-strengthened reinforced concrete (RC) beams is experimentally investigated. Four critical shear spans corresponding ... -
Strengthening of reinforced concrete beams in shear using different steel reinforced grout techniques
( John Wiley and Sons Inc , 2021 , Article)In this study, steel reinforced grout (SRG) is proposed for shear strengthening of reinforced concrete (RC) beams using the near-surface embedded (NSE) technique. It is believed based on several research contributions in ... -
Urban resilience and livability performance of European smart cities: A novel machine learning approach
( Elsevier , 2022 , Article)Smart cities are centres of economic opulence and hope for standardized living. Understanding the shades of urban resilience and livability in smart city models is of paramount importance. This study presents a novel ...
