Effects of Material Characteristics on Flexible Pavement Rutting Phenomena in Gujarat

  • Jyoti Trivedi
  • Rakesh KumarEmail author
Conference paper
Part of the Lecture Notes in Intelligent Transportation and Infrastructure book series (LNITI)


As Mechanistic-Empirical (M-E) configuration keeps on progressing toward full usage by state offices, there is a need to survey the precision of the asphalt reaction models under unique movement. A constitutive model is proposed to predict the accumulation of permanent strains for bituminous surface (BS), subbase and subgrade soils. The deformation of the in situ traffic loading cycle is incorporated in the elastic theoretical framework based on the subgrade vertical compressive strain and horizontal tensile strain criterion. The model has been implemented on road stretch of Gujarat. Soil characteristics were assessed by developing the correlation using multilinear regression (MLR) and Artificial Neural Network (ANN) techniques with conventional volumetric and index properties. The in situ response based rut depth model was also developed to predict rutting taking consideration of volumetric, index properties and estimated vertical compressive strain, and horizontal tensile strain. The model was trained, tested and validated with 85%, 05%, and 10% data, respectively.


Rutting Subgrade Granular subbase (GSB) MLR ANN 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Faculty of TechnologyCEPT UniversityAhmedabadIndia
  2. 2.Civil Engineering DepartmentSVNIT, SuratSuratIndia

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