The current study aims to develop a fully automated backcalculation software system, referred to as I-BACK, with improved accuracy and usability of Iowa FWD data. Researchers at Iowa State University (ISU) have developed a suite of advanced pavement layer moduli backcalculation models using the artificial neural networks (ANN) methodology for flexible, rigid, and composite pavements. More efficient and faster methods in FWD test data analysis were demanded and deemed necessary for routine analysis. This tool can also be licensed separately. This tool uses the EVERCALC algorithm for the iterative backcalculation process. However, the pavement layer moduli backcalculation techniques used so far have been cumbersome and time consuming. The tool provides three major functions: pre-processing deflection data (including project segmentation), backcalculation, and post-processing of results to generate inputs for Pavement ME rehabilitation design. The purpose of SHRP's flexible pavement backcalculation software evaluation exercise was twofold: (a) to provide a basis for selecting a program for use in the SHRP backcal culation and (b) to provide a basis for development of the procedures to be used with that software. The Iowa Department of Transportation (DOT) has been collecting falling weight deflectometer (FWD) data on a regular basis. The Pavement ME Deflection Data Analysis and Backcalculation Tools is a standalone software program that can be used to generate backcalculation inputs to the AASHTO Pavement ME Design software for rehabilitation design.
Pavement ME Design, have been widely used in the. I-BACK: Iowa's Intelligent Pavement Backcalculation Software The Mechanistic-Empirical Pavement Design Guide (Pavement ME Guide) and its related software, AASHTOWare.