![]() Evaluation of accelerometers to determine pavement deflections under traffic loads. The Graduate Faculty of The University of Akron, USA. Backcalculation of pavement moduli using genetic algorithms. Backcalculation of pavement layer elastic modulus and Poisson's ratio with DM has been carried out for the first time. By looking at the results of the study, Kstar method gives fine results with respect to other DM methods. Experimental deflection data groups from NDT are used to show the capability of the DM approaches in backcalculating the pavement layer thickness and compared each other. In estimation of the elastic modulus and Poisson's ratio, data mining (DM) method has not been used as a backcalculation tool before. This study focuses on the use of data mining (DM)-based pavement backcalculation tools for determining the in situ elastic moduli and Poisson's ratio of asphalt pavement from synthetically derived Falling Weight Deflectometer (FWD) deflections at seven equidistant points. Using backcalculation analysis, flexible pavement layer in situ material properties can be backcalculated from the measured field data through appropriate analysis techniques. Pavement layers are characterized by their elastic moduli estimated from surface deflections through backcalculation. ![]() Pavement deflection data are often used to evaluate a pavement's structural condition non-destructively. ![]()
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