Effects Variability Number of Load Repetitions on the Optimum Thickness of Asphalt Layer with Respect to Fatigue and Rutting Behaviour on the Sand Bed Soil Area

Authors

  • Samir Hasan Arif Department of High Way and Bridge Engineering, College of Engineering, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq
  • Nazeer Muhammed Ali Abdulah Department of High Way and Bridge Engineering, College of Engineering, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq

Keywords:

Layer thickness, pavement stiffness, Rutting Deformation, and Fatigue Distress

Abstract

This study uses a mechanistic design approach to investigate how the elastic modulus of pavement materials
and the variability of the number of load repetitions affect the behavior of flexible pavement structural on the
sand bed soil with regard to fatigue and rutting damages. The structure is assessed for a system of flexible
pavement with six layers. The main sticking point in this paper is the impact of variation in an asphalt layer's
thickness and resilient moduli on fatigue and rutting failures. By using the KENLAYER program to analyze
strains in the upper and lower of each layer, the methodology is based on the damage analysis idea and is
conducted for both fatigue and rutting distress in the flexible pavement. Data gathering is dependent on the
sources utilized to create the statistical distributions of layer thicknesses and elastic moduli, which include
AASHTO 1993 and Asphalt Institute. According to the findings the pavement analysis on the sand bed soil
that elasticity modulus, and thickness of the foundation are the main factors that regulate the balance
between fatigue and rutting lives, respectively. The study also found that while raising the elasticity modulus
of the surface only slightly prolongs pavement life, increasing the thickness of the surface layer greatly
lengthens pavement life. The researched pavement elements are the elasticity modulus and thickness of the
pavement layers. Sensitivity analysis were carried out to determine the crucial input variables that have the
greatest impact on the ideal thickness of the asphalt layer

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Published

2023-09-20