International Journal of Advanced Technology and Engineering Exploration ISSN (Print): 2394-5443    ISSN (Online): 2394-7454 Volume-12 Issue-123 February-2025
  1. 4774
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Addressing rutting damage in flexible pavements: a comprehensive analysis using finite element modelling and support vector machines

Amit Kumar1, Rajesh Ranjan2, Anish Kumar1 and Sanjeev Sinha3

Assistant Professor, Department of Civil Engineering,Rajkiya Engineering College, Azamgarh 276201,Uttar Pradesh,India1
Research Scholar, Department of Civil Engineering,National Institute of Technology Patna 800005,Bihar,India2
Professor, Department of Civil Engineering,National Institute of Technology Patna 800005,Bihar,India3
Corresponding Author : Anish Kumar

Recieved : 22-February-2024; Revised : 26-January-2025; Accepted : 09-February-2025

Abstract

The study aimed to investigate the rutting behaviour of the flexible pavement layers. Rutting is a significant distress mode in asphalt pavements, leading to severe serviceability issues. Understanding the rutting mechanisms in various pavement layers is crucial for improving pavement design and maintenance strategies. A three-dimensional finite element model (FEM) was constructed using the software ABAQUS to simulate the behaviour of flexible pavement layers under wheel loads. The study employed finite element analysis (FEA) to assess the rutting in different layers of the pavement structure. Additionally, support vector machine (SVM) models were constructed using the radial basis function (RBF) kernel to predict rutting behavior based on displacement data. The analysis revealed that the top layer of the pavement experienced a 3.8% reduction in rutting loss, while the subgrade layer showed only a 0.31% reduction. The top surface of the flexible (asphalt) pavement under the wheel load path experienced higher rutting than compressive stresses, which decreased laterally with horizontal distance. The critical rut depth was measured as 5.73 mm for the top layer and 3.8 mm for the base layer. The SVM models constructed with the RBF kernel function demonstrated superior performance, achieving R² values of 0.999 and 0.997 for displacement prediction at the center and edge of the pavement, respectively, under training conditions. The study demonstrated the effectiveness of FEA in evaluating the rutting behaviour of flexible pavement layers. The results highlighted the greater rutting in the top layer compared to the subgrade, emphasizing the need for focused attention on the top layers during pavement design and maintenance. Additionally, the SVM models with the RBF kernel accurately predicted pavement displacement, providing a valuable tool for future pavement analysis and optimization.

Keywords

Flexible pavement, Rutting behavior, ABAQUS, Finite element analysis (FEA), Support vector machine (SVM), Radial basis function (RBF) kernel.

Cite this article

Kumar A, Ranjan R, Kumar A, Sinha S. Addressing rutting damage in flexible pavements: a comprehensive analysis using finite element modelling and support vector machines. International Journal of Advanced Technology and Engineering Exploration. 2025;12(123):163-185. DOI : 10.19101/IJATEE.2024.111100197

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