Numerical data for modelling pavement deflection behaviour under the TSD

Data Brief. 2024 Nov 15:57:111135. doi: 10.1016/j.dib.2024.111135. eCollection 2024 Dec.

Abstract

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.

Keywords: Alizé-Lcpc data; Numerical modeling; Pavement mechanics; Road infrastructure assessment; Subgrade resilient modulus; Traffic speed deflectometer.