AIM
To Investigate the mechanical properties of the flexible pavement layer properties in a non-destructive manner by using machine learning and non-conventional optimization methods.
CURRENT STATE OF THE RESEARCH
- Newly proposed metaheuristic optimization methods are implemented to the problem to improve the quality of the estimated layer properties such as moduli and thickness.
- Current machnine learning models are enhanced for better simulations of the field tests.
- Journal papers are prepared with the application of newly proposed algorithms; Cuckoo Search, Gravitational Search Algorithm, and Elitist Stepped Distribution Algorithm for the analysis of various types of flexible pavements.