CHANGE IN RESILIENT MODULUS OF BASE LAYERS IN ASPHALT PAVEMENT STRUCTURES OVER TEXAS

The properties of materials change over time and the same case happens for the HMA pavement. The various components of HMA pavement such as surface, base, sub-base, and sub-grade have time related functions. In particular, the base layer which is the immediate layer below the surface, comprising of various materials such as crush aggregates and HMA also have a time related function. Among the numerous properties of the base layers which are dependent with time is its resilient modulus. Therefore, this paper correlates the effect of the change in resilient modulus with time including the various varying conditions such as rutting, thickness of base layer, precipitation, traffic, temperature, IRI index, wheel path length cracked, cracking percentage, crack length, liquid limit, plastic limit, optimum moisture content, and % fine passing below 200 sieve. Each individual factor has different effects over the resilient modulus of the base layer, but their effects are more severe when they act at once in a pavement structure

Rutting Performance of Pavement under Autonomous Vehicle Consideration

Rutting also referred as permanent deformation has always been a concern in the asphalt pavement industry. Prevalence of rutting is the sign of inefficient functioning of the roadways. Various studies are being performed for the rutting analysis and nowadays, rutting related studies are more inclined to autonomous vehicles. The introduction of autonomous vehicles on the prevailing pavements may raise countless questions regarding the distress free functioning of pavement. Lateral as well as longitudinal wandering of the autonomous vehicles are top concerns on the rutting related analysis of the pavement. Therefore, there is a great need for understanding rutting related behavior of pavement when it is loaded with autonomous vehicles. This paper assumes various conditions related to automated vehicles and quantifies the rutting encountered when there is shift from man drive vehicle to autonomous vehicles