Effectiveness of static and dynamic backcalculation approaches for asphalt pavement

Abstract

<jats:p> In this study, the field falling weight deflectometer (FWD) data for asphalt pavement with various base types were backcalculated through dynamic and static backcalculation approaches, and the effectiveness of backcalculation approaches was studied. Asphalt concrete (AC) was treated as a viscoelastic material and the complex modulus was obtained using the dynamic approach. The dynamic modulus at a fixed frequency was computed for comparison purposes. The coefficient of variance and the compensating layer effect were assumed as two characteristics for the effectiveness of backcalculation approaches. The results show that the layer property from the dynamic backcalculation approach for different stations were more consistent and showed smaller coefficient of variance, which were more appropriate for the characterization pavement behavior. The elastic moduli from the static approach were more variable and exhibited a compensating layer effect in which a portion of the modulus of one layer was backcalculated into other layers. The dynamic approach is more effective than static approaches in backcalculation of layer properties. </jats:p>

Determining Viscoelastic Characteristics of the Elements of Multi-Layer Structures Based on Energy Dissipation Analysis

“…The most effective method of nondestructive testing, used to determine the mechanical characteristics of structural layers in road pavement, is the method of determining the modulus of elasticity of the layers, based on solving the inverse problem of restoring the required parameters by maximum vertical displacements (bowl of deflections) recorded experimentally under impact loading. Recent years have witnessed fundamentally new approaches to solving this class of problems: with the use of artificial neural networks (Han et al, 2021;Saltan et al, 2013;Vyas et al, 2021;Wang et al, 2021), genetic algorithms to adjust the theoretical and experimental fields of vertical displacements (Fwa et al, 1997;Le and Phan, 2021;Park et al, 2010;Tsai et al, 2004;Varma et al, 2013;Wang et al, 2019;Zhang et al, 2021), new approaches to dynamic deformation analysis (Bazi and Assi, 2022;Booshehrian and Khazanovich, 2018;Cao et al, 2020;Lee et al, 2018;Zhang et al, 2019;Zhao et al, 2015), consideration for the wave nature of deformation (Al-Adhami and Gucunski, 2021;Chatti et al, 2017;Marchant and Papagiannakis, 2010;Quan et al, 2022;Zaabar et al, 2014).…”