Jack Banahene Osei
The researcher's work is centered on advancing the understanding and application of reinforced concrete structures across various domains. Their focus includes bamboo properties for sustainable construction, which they integrate into self-compacting concrete beams, enhancing durability and resilience in rural areas. Through finite element modeling and machine learning techniques, they analyze the behavior of bamboo-reinforced concrete beams under different loading conditions, such as one-way slabs and beams with 100% recycled coarse aggregate. Their research also delves into the structural integrity of these beams, contributing to sustainable construction practices. Additionally, they employ empirical joint shear strength models to predict structural failure in laterally loaded RC columns. The researcher's work extends beyond concrete structures by incorporating energy-efficient materials like graphite and advanced radiation studies for nuclear technology. Structural health monitoring techniques, including predictive behavior modeling with finite element analysis, are also explored. Their research contributes significantly to both sustainable construction practices and the development of innovative concrete reinforcement materials.
Faculty Biography
Jack Banahene Osei’s research evolves around performance-based earthquake engineering, reinforced concrete structures and several applications of finite element method in engineering.
Bamboo properties and applications
Concrete Corrosion and Durability
Graphite, nuclear technology, radiation studies
Infrastructure Maintenance and Monitoring
Innovative concrete reinforcement materials
Seismic Performance and Analysis
Structural Behavior of Reinforced Concrete
Structural Health Monitoring Techniques
Structural Response to Dynamic Loads
Bond Characteristics of Coated Reinforcing Steel Bars with Reference to Deformation of Concrete Beams
Open AccessStructural Performance of Reused GFRP Bars in Reinforced Concrete Beams: A Sustainable Approach to Concrete Reinforcement
Open AccessAssessment of Oil Paints for Corrosion Protection of Reinforcing Steel Bars in Concrete
Open AccessRice Husk Ash as Partial Replacement of Cement in Sustainable Construction
Open AccessPredictive Behaviour from Finite Element Analysis on PVC-Ducted Reinforced Concrete Column
Open AccessStructural Failure Mode Prediction in Laterally Loaded Reinforced Concrete Columns Using Machine Learning
A machine learning-based structural load estimation model for shear-critical RC beams and slabs using multifractal analysis
Strain driven mode-switching analytical framework for estimating flexural strength of RC box girders strengthened by prestressed CFRP plates with experimental validation
Open AccessA Machine Learning-Based Structural Load Estimation Model For Shear-Critical Rc Beams and Slabs Using Multifractal Analysis
Open AccessBehaviour of Bamboo Reinforced Concrete Beams With 100% Recycled Coarse Aggregate
Open AccessFinite Element Modelling of Bamboo Reinforced Concrete Beams
Monte Carlo Based Seismic Hazard Model for Southern Ghana
Open AccessStructural Characteristics of Reinforced Palm Kernel Shell Concrete Deep Beams
Open AccessAverage spectral acceleration: Ground motion duration evaluation
A comparative seismic fragility analysis of a multi and single component beam-column joint models
Open AccessBamboo reinforced self-compacting concrete one-way slabs for sustainable construction in rural areas
Open AccessOn The Non-Linear Finite Element Modelling of Self-Compacting Concrete Beams
Evaluation of Empirical Joint Shear Strength Models for Simulating Dynamic Responses of Reinforced Concrete Structures
Bamboo‐reinforced self‐compacting concrete beams for sustainable construction in rural areas
Incorporating joint flexibility in collapse risk assessment
Nonlinear seismic analysis of a super 13-element reinforced concrete beam-column joint model
Department of Civil Engineering
Kwame Nkrumah University of Science and Technology