All Stories

  1. Evaluating mechanical, microstructural and durability performance of seawater sea sand concrete modified with silica fume
  2. An overview of factors influencing the properties of concrete incorporating construction and demolition wastes
  3. Acid Resistance of Alkali-Activated Natural Pozzolan and Limestone Powder Mortar
  4. Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis
  5. Engineered and green natural pozzolan-nano silica-based alkali-activated concrete: shrinkage characteristics and life cycle assessment
  6. Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Model
  7. A framework for the safe use of bamboo scaffolding in the Nigerian construction industry
  8. Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches
  9. Prediction of Strength and CBR Characteristics of Chemically Stabilized Coal Gangue: ANN and Random Forest Tree Approach
  10. Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models
  11. Predicting Bond Strength between FRP Rebars and Concrete by Deploying Gene Expression Programming Model
  12. Compressive Strength Estimation of Fly Ash/Slag Based Green Concrete by Deploying Artificial Intelligence Models
  13. Cement-based batteries design and performance. A review
  14. A review on the durability performance of alkali-activated binders subjected to chloride-bearing environment
  15. On the control of viscoelastic damped swelling porous elastic soils with internal delay feedbacks
  16. Mathematical prediction of the compressive strength of bacterial concrete using gene expression programming
  17. Strength and Acid Resistance of Ceramic-Based Self-Compacting Alkali-Activated Concrete: Optimizing and Predicting Assessment
  18. Assessment of acid resistance of natural pozzolan-based alkali-activated concrete: Experimental and optimization modelling
  19. Predicting the compressive strength of a quaternary blend concrete using Bayesian regularized neural network
  20. Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
  21. Tackling the impacts of Covid-19 on construction projects: an exploration of contractual dispute avoidance measures adopted by construction firms
  22. Coping with the Covid-19 pandemic: an exploration of the strategies adopted by construction firms
  23. Bio-inspired self-healing of concrete cracks using new B. pseudomycoides species
  24. Effect of alkaline activator ratio on the compressive strength response of POFA-EACC mortar subjected to elevated temperature
  25. Ensemble machine learning model for corrosion initiation time estimation of embedded steel reinforced self-compacting concrete
  26. A risk assessment approach for enhancing construction safety performance
  27. Palm oil fuel ash (POFA) as a demulsifier for crude oil emulsions: Performance and mechanism
  28. Influence of composition and concentration of alkaline activator on the properties of natural-pozzolan based green concrete
  29. Impact of Al(OH)3 addition to POFA on the compressive strength of POFA alkali-activated mortar
  30. Performance of POFA-Based Alkali-Activated Mortar Exposed to Elevated Temperatures
  31. POFA-Engineered Alkali-activated Cementitious Composite Performance in Acid Environment
  32. Modelling the early strength of alkali-activated cement composites containing palm oil fuel ash
  33. Durability performance of Palm Oil Fuel Ash-based Engineered Alkaline-activated Cementitious Composite (POFA-EACC) mortar in sulfate environment
  34. Impact of added water and superplasticizer on early compressive strength of selected mixtures of palm oil fuel ash-based engineered geopolymer composites
  35. Mechanical properties and durability characteristics of SCC incorporating crushed limestone powder