All Stories

  1. Deep learning and machine learning‐based prediction of capillary water absorption of hybrid fiber reinforced self‐compacting concrete
  2. Estimation of strengths of hybrid FR‐SCC by using deep‐learning and support vector regression models
  3. Predicting the geopolymerization process of fly ash-based geopolymer using deep long short-term memory and machine learning
  4. Comparison of extreme learning machine and deep learning model in the estimation of the fresh properties of hybrid fiber-reinforced SCC
  5. Investigation of carbonation performance of polymer-phosphazene concrete using Taguchi optimization method
  6. Healing with Polymer Containing Phosphazene of Concrete Exposed to Freezing and Thawing
  7. Investigation of mechanical properties of polymer impregnated concrete containing polypropylene fiber by taguchi and anova methods
  8. Deep learning model for estimating the mechanical properties of concrete containing silica fume exposed to high temperatures
  9. Microstructure and Mechanical Properties of Polymer-Phosphazene Mortar Exposed to Sulfate Attack
  10. Modeling the weight and length changes of the concrete exposed to sulfate using artificial neural network
  11. Optimization of durability properties of concrete containing fly ash using Taguchi’s approach and Anova analysis
  12. Performance of Phosphazene-Containing Polymer-Strengthened Concrete after Exposure to High Temperatures
  13. Long-term microstructure and mechanical properties of polymer-phosphazene concrete exposed to freeze-thaw
  14. High temperature resistance of polymer-phosphazene concrete for 365 days
  15. Long-term performance of the healed mortar with polymer containing phosphazene after exposed to sulfate attack
  16. Prediction of the Strength Properties of Carbon Fiber-Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine
  17. Erratum to: “Determination of the principal parameter of ultrasonic pulse velocity and compressive strength of lightweight concrete by using variance method”
  18. Prediction of compressive strength of lightweight mortar exposed to sulfate attack
  19. Mechanical properties of geopolymer concrete containing polyvinyl alcohol fiber exposed to high temperature
  20. Taguchi optimization approach for the polypropylene fiber reinforced concrete strengthening with polymer after high temperature
  21. The investigation of microstructure and strength properties of lightweight mortar containing mineral admixtures exposed to sulfate attack
  22. Application of Taguchi method for optimization of concrete strengthened with polymer after high temperature
  23. Post-fire behavior of structural lightweight concrete designed by Taguchi method
  24. Variance analysis of crack characteristics of structural lightweight concrete containing silica fume exposed to high temperature
  25. Taguchi and Anova approach for optimisation of design parameters on the compressive strength of HSC
  26. Estimation of compressive strength of self compacting concrete containing polypropylene fiber and mineral additives exposed to high temperature using artificial neural network
  27. Predicting the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives using artificial neural network
  28. Modeling mechanical performance of lightweight concrete containing silica fume exposed to high temperature using genetic programming
  29. Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete
  30. Statistical analysis for mechanical properties of polypropylene fiber reinforced lightweight concrete containing silica fume exposed to high temperature
  31. Statistical analysis for strength properties of polypropylene-fibre-reinforced fly ash concrete
  32. Fuzzy logic model for prediction of mechanical properties of lightweight concrete exposed to high temperature
  33. Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network
  34. Fuzzy logic model for the prediction of bond strength of high-strength lightweight concrete
  35. An artificial neural network approach for prediction of long-term strength properties of steel fiber reinforced concrete containing fly ash
  36. The effect of high temperature on compressive strength and splitting tensile strength of structural lightweight concrete containing fly ash
  37. Performance of lightweight concrete with silica fume after high temperature