Figures index

From

Prediction of Ultimate Shear Capacity of Reinforced Normal and High Strength Concrete Beams Without Stirrups Using Fuzzy Logic

Abdulkhaliq Abdulyimah Jaafer

American Journal of Civil Engineering and Architecture. 2013, 1(4), 75-81 doi:10.12691/ajcea-1-4-2
  • Figure 1. Fuzzy reasoning models
  • Figure 2. Membership functions for depth to width ratio (d/bw)
  • Figure 3. Membership functions for depth of beam (d)
  • Figure 4. Membership functions for shear span to depth ratio (a/d)
  • Figure 5. Membership functions for concrete compressive strength (f'c)
  • Figure 6. Membership functions for longitudinal reinforcement ratio ()
  • Figure 7. Membership functions for ultimate shear load (V)
  • Figure 8. A segment of the rules
  • Figure 9. Inference module (the rules viewer)
  • Figure 10. Regression analysis between predicted and actual values for training data
  • Figure 11. Regression analysis between predicted and actual values for testing data
  • Figure 12. influence of concrete compressive strength on shear strength of beams
  • Figure 13. influence of longitudinal reinforcement amount on shear strength of beams
  • Figure 14. influence of size effect on shear of beams
  • Figure 15. influence of size effect on shear strength of beams
  • Figure 16. influence of shear span to depth ratio on shear strength of beams