Effect of Anisotropic Base/Interlayer on the Mechanistic Responses of Layered Pavements

Freeze-thaw damage is one of the main threats to the long time performance of the concrete pavement in the cold regions. This project aims to evaluate the influence of the freeze-thaw damages on pavement distresses under different climate conditions. Based on the Long-Term Pavement Performance (LTPP) data base, the freeze-thaw damage generated by four different kinds of climate conditions are considered in this project: wet-freeze, wet-non freeze, dryfreeze and dry-non freeze. The amount of the transverse crack and the joint spalling, along with the International Roughness Index (IRI) are compared among the test sections located in these four different climate conditions. The back calculation with the Falling Weight Deflectometer (FWD) test results based on the ERES and the Estimation of Concrete Pavement Parameters (ECOPP) methods are conducted to obtain concrete slab elastic modulus and the subgrade k-value. These two parameters both decrease with service time under freeze condition. Finally, MEPDG simulation is conducted to simulate the IRI development with service year. These results showed the reasonable freeze-thaw damage development with pavement service life and under different climate conditions.

Investigation on the freeze-thaw damage to the jointed plain concrete pavement under different climate conditions

The backcalculation procedure applied to a mechanical characterization of the road pavement is usually limited to an identification of the elastic modulus of each layer only. The remaining parameters of the model are usually set as known, while performing an inverse analysis. Among assumed parameters are thicknesses of the model layers and frequently considered as constants on a homogeneous section of the road. This is an obvious simplification, because sections in general are inhomogeneous, i.e. the thickness of each layer changes slightly along each road section. Thus the precise and possibly nondestructive estimation of the layers thicknesses is very important and crucial in the inverse procedure. Here, a hybrid form of the optimization algorithm, where the condition of a constant thickness does not need to be fulfilled is described. Further on, the objective function is formed as a discrepancy between reference and computed deflection derivative instead of a deflection curve. In consequence, the value...

Multi-level backcalculation algorithm for robust determination of pavement layers parameters

Effect of Uncertain Material Property on System Reliability in Mechanistic-Empirical Pavement Design

Backcalculation is commonly used for determining stiffness moduli of pavement courses and its subgrade based on in situ deflection tests However, the in situ test results are dependent on the freq

/pdf/the-influence-of-frequency-normalisation-of-fwd-pavement-321zddg6wl.pdf

The influence of frequency normalisation of FWD pavement measurements on backcalculated values of stiffness moduli

This paper presents a backcalculation method for pavement layer elastic modulus and thickness The effect of deflection measurement errors on the backcalculated results is also considered The falling weight deflectometer (FWD) data are generated by applying a load to the pavement while calculating deflection at various fixed distances from the load centre The measurement errors in FWD data are simulated by perturbing the theoretical deflections Using these data, a backcalculation technique based on the improved genetic algorithm is proposed In order to deal with the measurement errors, besides the common root mean square, a new objective function called area value with correction factor is introduced to the backcalculation algorithm Numerical examples for two- and four-layer pavement structures are presented, which show the capability of the proposed method in backcalculation of pavement layer modulus and thickness

https://blogs.uakron.edu/ernianpan/files/2015/05/240-2014-IJPE-AliErnieRogerRuifengXinruYingchun.pdf

Backcalculation of pavement layer elastic modulus and thickness with measurement errors

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Backcalculation of pavement layer elastic modulus and thickness with measurement errors