Pavement Quality Index Rating Strategy Using Fracture Energy Analysis for Implementing Smart Road Infrastructure

Abstract

Developing a responsive pavement-management infrastructure system is of paramount importance, accentuated by the quest for sustainability through adoption of the Road Traffic Management System. Technological advances have been witnessed in developed countries concerning the development of smart, sustainable transportation infrastructure. However, the same cannot be said of developing countries. In this study, the development of a pavement management system at network level was examined to contribute towards a framework for evaluating a Pavement Quality Index and service life capacity. Environmental surface response models in the form of temperature and moisture variations within the pavement were applied, using sensor devices connected to a data cloud system to carry out mathematical analysis using a distinctive mesh analysis deformation model. The results indicated variation in the Resilient Modulus of the pavement, with increasing moisture content. Increase in moisture propagation increased saturation of the unbound granular base which reduced the elastic modulus of the sub-base and base layer and reduced the strength of the pavement, resulting in bottom-up cracks and cracking failure. The horizontal deformation reduced, indicating that the material was experiencing work hardening and further stress would not result in significant damage. Increasing temperature gradient resulted in reduced stiffness of the asphalt layer. In tropical regions, this can result in rutting failure which, over time, results in top-down cracks and potholes, coupled with increasing moisture content.

Sustainable management and comprehensive administrative control of asphalt pavements case study, Perú

“…This demands that there be changes in the internal regulations of the cooperative. The scenario is to move from the state of a new pavement to the onset of fatigue, represented by the occurrence of visible surface defects, recoverable deflection on the surface above what is admissible, increasing stresses and deformations, depending on the reduction of the structural capacity of the layers and the pavement as a whole (9,10,11). The study developed shows a framework of the administrative system in the management of asphalt pavements for its subsequent incorporation of an analysis from the workers who work in the company to reduce possible failures or uncertainties (12,13).…”

Integration of Smart Pavement Data with Decision Support Systems: A Systematic Review

“…In this analysis, a distinction was made between sensors embedded into the pavement [46][47][48][49][50][51][52] and those applied directly on the pavement surface [42][43][44]. These monitoring systems focus either on the monitoring of the propagation of concealed cracks [42,43,46,48], or on the estimation of structural capacity [47,[49][50][51][52]57] influenced by pavement parameters that can be measured by specific sensors, such as strain, temperature, or moisture gauges. Nevertheless, embedded methods are not exclusive to the monitoring of structural condition, as these systems have also been used to monitor functional aspects.…”