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April 28, 2026Canadian Journal of Civil Engineering0 citations

Field-Based Assessment of Pavement Performance through Seasonal Comparison of Measured and Modelled Strain and Stress Responses

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MAMalik Noor Ul Amin AwanSCSilas Henrique Barbosa de CarvalhoLHLeila Hashemian

Key Points

  • This study aims to evaluate the performance of the KENPAVE model by comparing field-measured and simulated pavement responses over a year.
  • Conducted a year-long comparison between field measurements and KENPAVE model simulations in Edmonton, Alberta.
  • Used sensors to monitor horizontal and vertical strains and stresses, with traffic data collected via Weigh-In-Motion systems.
  • Characterized asphalt properties through Dynamic Modulus testing.
  • Measured horizontal strains matched well with simulations in warmer months, but cold conditions led to significant overestimations.
  • Vertical strains were consistently underpredicted, resulting in an exaggerated rutting life by a factor of 6.14.
  • Fatigue life was underestimated by 22%, remaining the primary failure mode.

Abstract

This study presents a year-long comparison between field-measured and simulated pavement responses to evaluate the performance of a KENPAVE model under real traffic and environmental conditions. An instrumented test section in Edmonton, Alberta, was equipped with Asphalt Strain Transducers, Earth Pressure Cells, and environmental sensors to monitor horizontal and vertical strains and stresses. Traffic data were obtained via Weigh-In-Motion systems, while asphalt properties were characterized through Dynamic Modulus testing. The KENPAVE model was used to simulate monthly pavement responses. Results showed good agreement with measured horizontal strains in warmer months, but substantial overestimations occurred in colder conditions. Vertical strains were consistently underpredicted, leading to an overestimation of rutting life by a factor of 6.14. Fatigue life was underestimated by 22%, though it remained the dominant failure mode. Findings highlight the value of long-term sensor data in refining pavement design models and underscore the need for better temperature-stiffness characterization in cold regions.

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Cite This Study

Awan et al. (2026) studied this question.

synapsesocial.com/papers/69f04e7d727298f751e72777https://doi.org/10.1139/cjce-2025-0342
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