Implementation of the mechanistic–empirical pavement design in northern Peru using a calibration coefficient for the International Roughness Index

Abstract

The Mechanistic–Empirical Pavement Design Guide (MEPDG) is the software of the American Association of State Highway and Transportation Officials (AASHTO). It uses mechanistic–empirical–numerical models to analyze input data on traffic, climate, materials and structures, also estimating damage accumulation over roadway service life. This study focuses on its application in Lambayeque (Peru): with MEPDG, different sections of flexible pavement were modeled and prediction values for the International Roughness Index (IRI) were obtained. These values were contrasted with empirical data from evaluated sections. Using Equivalent Simple Axis Load (ESAL) traffic data as input, the model gave values largely in agreement with field measurements. Hence, a regional calibration coefficient for IRI prediction can be derived. The model accommodates the Level 3 load spectrum and ESALs, providing compatibility and good precision.