Data in Brief (Dec 2024)

Numerical data for modelling pavement deflection behaviour under the TSDLicense : etalab 2.0

  • Abdelgader Abdelmuhsen,
  • Jean-Michel Simonin,
  • Franziska Schmidt,
  • Denis Lievre,
  • Alexis Cothenet,
  • Murilo Freitas,
  • Amine Ihamouten

Journal volume & issue
Vol. 57
p. 111135

Abstract

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This dataset provides a numerical simulation of pavement mechanical behavior under Traffic Speed Deflectometer (TSD) measurements. It consists of simulated deflection slope data for various pavement structures and subgrade properties, generated using the Alizé-LCPC software, a standard tool in French pavement engineering. The dataset addresses limitations in traditional Falling Weight Deflectometer (FWD) methods, offering a more accurate and computationally efficient approach for estimating the Subgrade Resilient Modulus (MR) using machine learning models. This resource is valuable for researchers aiming to enhance pavement evaluation methods and develop predictive models for road infrastructure maintenance and assessment. The data are openly accessible, facilitating widespread research collaboration and the application of advanced data analytics in pavement engineering.

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