Abstract
In the Pavement ME Design, the modulus of subgrade reaction (k-value) is characterised by the dense liquid or Winkler model, which does not consider the interface bond within the supporting media. In this study, a modified k-value model was developed to take into account the shear interaction between concrete slab and base course. Formulation of the modified k-value model contained four steps: (a) correction of cross anisotropic base modulus; (b) development of a submodel for slab-base equivalent thickness; (c) development of a formula for slab-base interface shear bonding; and (d) determination of k-value using the calculated shear bonding and the deflection patterns of falling weight deflectometer (FWD). A large number of rigid pavement structural and strength properties and the corresponding FWD deflection patterns data were collected from the Long-Term Pavement Performance database and used to calculate the modified k-value. These were compared against the k-values using the existing ‘backcalculated best-fit approach’. The results showed that the modified k-values changed significantly due to the consideration of cross anisotropy and slab-base interface bonding. Finally, an artificial neural network (ANN) approach was employed to predict the modified k-values for the given pavement structures, layer moduli and interface bonding ratios.
| Original language | English |
|---|---|
| Pages (from-to) | 1794-1805 |
| Number of pages | 12 |
| Journal | International Journal of Pavement Engineering |
| Volume | 21 |
| Issue number | 14 |
| Early online date | 12 Feb 2019 |
| DOIs | |
| Publication status | Published - 5 Dec 2020 |
Keywords
- artificial neural network
- interface shear bonding
- long-term pavement performance
- Modulus of subgrade reaction
- rigid pavement design
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