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  Published Paper Details:

  Paper Title

NONLINEAR STRUCTURAL DEFORMATION MODELLING OF ASPHALT LAYERS USING ARTIFICIAL NEURAL NETWORKS

  Authors

  Vikas Kumar Reddy T,  Sunny Deol G

  Keywords

Asphalt Pavements, Backcalculated Moduli, Distress, Rutting.

  Abstract


Structural deformation commonly known as rutting (permanent deformation) in Asphalt pavements is the most familiar and major form of distress in soft subgrade soils which results in premature failure and impairing its serviceability criteria. Conventional distress prediction models account only direct in-situ measurements rather than material characterization and its responses under realistic dynamic loading. This study develops in-situ response based modified constitutive 2-D model to predict rutting in terms of estimated vertical compressive strain and radial strain. The influence of calculated responses estimated from 30 tests locations of various road sections having diverse traffic loading and soil characteristics has been thoroughly assessed by developing the correlation with conventional volumetric and index properties along with backcalculated moduli of granular and subgrade layers. Results depicts that poor correlation of 0.65 between vertical compressive strain and material parameters with radial basis function network and comparatively good correlation of 0.79 with multi linear perceptron network. Similarly, poor correlation of 0.55 between radial strain and material parameters with radial basis function network and comparatively good correlation of 0.82 with multi linear perceptron network. Further the final 2-D rut prediction modified constitutive model shows a satisfactory result with a correlation value of 0.732. The application of these developed models in the developing countries like India accelerates the decision-making process of various stakeholders in understanding the realistic mechanistic behaviour of pavement structural deformations rather than simple conventional rut measurements

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2010072

  Paper ID - 199578

  Page Number(s) - 542-549

  Pubished in - Volume 8 | Issue 10 | October 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Vikas Kumar Reddy T,  Sunny Deol G,   "NONLINEAR STRUCTURAL DEFORMATION MODELLING OF ASPHALT LAYERS USING ARTIFICIAL NEURAL NETWORKS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 10, pp.542-549, October 2020, Available at :http://www.ijcrt.org/papers/IJCRT2010072.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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