New Findings on Existing Resilient Modulus Constitutive Models through Performance Comparison on LTPP Data

Published in Journal of Transportation Engineering, Part B: Pavements, 2024

Ayenew Yihune Demeke, Constantine I. Sachpazis, Eleyas Assefa, Lysandros Pantelidis

Published version (DOI: 10.1061/JPEODX.PVENG-1457) Download PDF

PDF: author accepted manuscript. This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://doi.org/10.1061/JPEODX.PVENG-1457.

Summary

A performance comparison of ten constitutive models for predicting the resilient modulus (MR) of unbound pavement materials, using repeated load triaxial test data from the Long-Term Pavement Performance (LTPP) database. The NCHRP model adopted by the MEPDG, Puppala's model, and Ni's model performed best, with Puppala's slightly ahead, while the Rahim and George, Kim, and Moossazadeh and Witczak models performed poorly; models of the NCHRP form expressed in terms of confining pressure and deviator stress performed better.

Abstract

Resilient modulus (MR) serves as a fundamental material property utilized for characterizing unbound pavement materials in pavement design. While the repeated load triaxial test (RLT) is the standard method to determine MR, it can be impractical due to the required test facilities and expertise. As a result, various constitutive models have been proposed to predict MR of soil based on the stress state and soil properties. This study evaluates the performance of ten such constitutive models based on their accuracy in representing the relationship between MR and stress conditions for RLT test data taken from the long-term pavement performance (LTPP) database. The ten constitutive models consisted of models recommended by various researchers and institutions, including the one proposed by the National Cooperative Highway Research Program (NCHRP) and adopted by the Mechanistic-Empirical Pavement Design Guide (MEPDG). Multi-variable nonlinear curve fitting technique was used to fit the data to the models and obtain model coefficients. The performance of these models was then measured by using the coefficient of determination (R2), the root mean square error (RMSE) and the mean absolute error (MAE) values as metrics. The results show that the models proposed by NCHRP, Puppala as well as Ni performed best, with Puppala's model having a slight superiority. On the other hand, the models proposed by Rahim and George, Kim, and Moossazadeh and Witczak produced poor results. The results also indicate that models having the general form of NCHRP and expressed in terms of confining pressure and deviator stress perform better. The findings of this study will provide insights into the reliability of existing models and considerations that should be made for developing better alternative models in the future.

Keywords: Constitutive model, Resilient modulus, LTPP, Nonlinear curve fitting

How to cite

Demeke, A. Y., Sachpazis, C. I., Assefa, E., & Pantelidis, L. (2024). New findings on existing resilient modulus constitutive models through performance comparison on LTPP data. Journal of Transportation Engineering, Part B: Pavements, 150(2), 04024012. https://doi.org/10.1061/JPEODX.PVENG-1457

BibTeX

@article{demeke2024new,
  title   = {New Findings on Existing Resilient Modulus Constitutive Models through Performance Comparison on {LTPP} Data},
  author  = {Demeke, Ayenew Yihune and Sachpazis, Constantine I. and Assefa, Eleyas and Pantelidis, Lysandros},
  journal = {Journal of Transportation Engineering, Part B: Pavements},
  volume  = {150},
  number  = {2},
  pages   = {04024012},
  year    = {2024},
  publisher = {American Society of Civil Engineers},
  doi     = {10.1061/JPEODX.PVENG-1457}
}