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Articles

Inverse calculation of elastic moduli in cross-anisotropic and layered pavements by system identification method

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Pages 718-735 | Received 15 Jan 2014, Accepted 09 Jun 2014, Published online: 17 Jul 2014

Figures & data

Figure 1. Schematics of the FWD for measuring the surface deflections of a layered pavement at sensors si with distances di from the loading centre.

Figure 1. Schematics of the FWD for measuring the surface deflections of a layered pavement at sensors si with distances di from the loading centre.

Figure 2. Schematics of a p-layered pavement half space under a uniform vertical loading q within the circle r = R on the surface.

Figure 2. Schematics of a p-layered pavement half space under a uniform vertical loading q within the circle r = R on the surface.

Figure 3. Schematics of the SID method in moduli inversion of layered pavements using the FWD-measured surface deflections as inputs.

Figure 3. Schematics of the SID method in moduli inversion of layered pavements using the FWD-measured surface deflections as inputs.

Table 1. Actual material properties and geometry of the three-layer pavement structures with different cross-anisotropic layers and surface deflections “measured” at nine sensors si located at distance di from the loading centre.

Table 2. Actual material properties of the three-layer pavement with cross-anisotropic base layer only (Model 1), along with the inverted elastic moduli. In the inversion calculation, the Poisson’s ratios and vertical shear modulus Gv are fixed and three types of seed moduli are selected to study the sensitivity of the inverse algorithm on the seed moduli.

Table 3. Actual material properties of the three-layer pavement with cross-anisotropic base layer only (Model 1), along with the inverted elastic moduli and vertical shear moduli. In the inversion calculation, only the Poisson’s ratios are fixed and three types of seed moduli are selected to study the sensitivity of the inverse algorithm on the seed moduli.

Table 4. Actual material properties of the three-layer pavement with both cross-anisotropic asphalt concrete and base layers (Model 2), along with the inverted elastic moduli. In the inversion calculation, the Poisson’s ratios and vertical shear modulus Gv are fixed and three types of seed moduli are selected to study the sensitivity of the inverse algorithm on the seed moduli.

Table 5. Actual material properties and geometry of the four-layer pavement structures with different cross-anisotropic layers and surface deflections “measured” at nine sensors si located at distance di from the loading centre.

Table 6. Actual material properties of the four-layer pavement with both cross-anisotropic base and subbase layers (Model 3), along with the inverted elastic moduli. In the inversion calculation, the Poisson’s ratios and vertical shear modulus Gv are fixed and three types of seed moduli are selected to study the sensitivity of the inverse algorithm on the seed moduli.

Table 7. Actual material properties of the four-layer pavement with both cross-anisotropic asphalt concrete and base layers (Model 4), along with inverted elastic moduli and vertical shear moduli. In the inversion calculation, only the Poisson’s ratios are fixed and three types of seed moduli are selected to study the sensitivity of the inverse algorithm on the seed moduli.

Table 8. Actual material properties of the four-layer pavement with cross-anisotropic asphalt concrete, base and subbase layers (Model 5), along with the inverted elastic moduli. In the inversion calculation, the Poisson’s ratios and vertical shear modulus Gv are fixed and three types of seed moduli are selected to study the sensitivity of the inverse algorithm on the seed moduli.

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