Review and Analysis on Using the Analytical Approaches for Predicting the Pavement Performance

  • Rajashree Tapase
  • Dilip Aldar
  • Anand TapaseEmail author
Conference paper
Part of the Sustainable Civil Infrastructures book series (SUCI)


The complex characteristics of the present day in pavement system are making the available design procedure impractical for recurring tasks. It is seen the pavement deteriorates not only due to the combined effects of traffic loading and environmental conditions but also its failure takes place due to deficiencies construction, materials, and maintenance. Predicting pavement performance before its actual execution is possible with the help of analytical tools once they are validated. The paper provides a state of the art review of different analytical approaches implemented for the analysis of pavements and evaluating its performance. From the available literature, it should be noted that the ANN and FEM approaches can be realistically applied which do not require a formulation or function of the solution. Such tool will accommodate not only the thickness design but will assist the decision makers in finding optimum strategies for providing, evaluating and maintaining pavements in a serviceable condition for the longer duration. In this connection, it should be noted that the application of artificial neural network (ANN) and finite element method (FEM) will help in predicting the performance of different design sections for new pavement construction as well as for the maintenance operations in the form of overlay design. Performance prediction prior to actual construction will help to set the maintenance budget at the network level by assigning most cost-effective strategy at the project level.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Annasaheb Dange College of Engineering and TechnologyAshtaIndia
  2. 2.Rayat Shikshan Sanstha’s Karmaveer Bhaurao Patil College of EngineeringSataraIndia

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