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1. Effect of slab curling and warping on pavement layer backcalculation
2. Acknowledgements
3. Outline Introduction
Background
Curling and Warping in PCC Pavements
Procedure of the Developed Approach
ANN-Based Backcalculation Models
Comparison with the MLR Analysis
Application to the Actual Field Data
Summary and Conclusions
4. Introduction
5. Introduction
6. Concrete curling and warping of concrete slabs can influence the long-term performance and service life of the PCC pavements.
The goal of the study is to develop a rapid methodology for backcalculating the Total Effective Linear Temperature Difference (TELTD) in jointed plain concrete pavements (JPCP) from the FWD deflection basins and the thickness of the concrete pavement layer.
Background
7. Previously developed ANN-Based Backcalculation Models:
Concrete pavement layer modulus (EPCC) of the PCC layer,
Coefficient of subgrade reaction (ks) of the pavement foundation,
Tensile stresses at the bottom of the PCC layer (sPCC),
Radius of Relative stiffness (RRS).
Background
8. Background
9. Background
10. Background
11. Curling and Warping in PCC Pavements
12. Curling and Warping in PCC Pavements
13. Curling and Warping in PCC Pavements
17. Curling and Warping in PCC Pavements
18. Training Set Generation
20. ANN-Based Backcalculation Models
21. ANN-Based Backcalculation Models
23. ANN-Based Backcalculation Models
24. ANN-Based Backcalculation Models
25. ANN-Based Backcalculation Models
26. ANN-Based Backcalculation Models
27. ANN-Based Backcalculation Models
28. Noise-Introduced ANN-Based Backcalculation Models
29. Comparison with MLR Analysis
30. Comparison with MLR Analysis
32. Field Data Analysis
33. Field Data Analysis
34. Field Data Analysis
35. Field Data Analysis
36. Summary and Conclusions
37. Summary and Conclusions
38. Summary and Conclusions
39. Questions…