A Simplified Empirical Approach for Prediction of Pavement Layer Moduli Values Using Lightweight Deflectometer Data

Autor: Vinod Kumar Adigopula
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Pavement Research and Technology. 15:751-763
ISSN: 1997-1400
1996-6814
Popis: This study aims to predict the pavement layer moduli using responses from surface deflections data using a lightweight deflectometer (LWD). For thin asphalt pavement, LWD may be a useful tool for evaluation purposes. A finite element method, Plaxis 2D software, was used to analyse the LWD stress influences on selected pavement crust thickness. Conversion of in situ deflections values into moduli values is known as the backcalculation technique and; it is a complex and mathematical process that relies solely on one of the factors of measured surface deflections under a given load. It is challenging to measure backcalculate moduli of thin pavements. Thus, this study aims to develop an empirical equation using regression analysis for a quick approximate estimation of in situ layer moduli using user-friendly interference Microsoft excel without any seed value and software interface requirement. In this regard, Kenlayer pavement analysis was used to develop synthetic data, which helps develop an empirical equation. Validation for the developed empirical model deals with the genetic algorithm base backcalculation approach, laboratory results and field test data. Validation of the results strengthens the developed empirical equation. Eventually, LWD with 20 kg drop weight proposed empirical model provides a quick approximate estimation, and efficient way to access the existing thin asphalt pavement condition may be the further no requirement of backcalculation process.
Databáze: OpenAIRE