Generación de Curvas de Deterioro en un Tramo de 50 Kilómetros en la Autopista Medellín-Bogotá Para Cada uno de los Indicadores Establecidos en el Índice de Estado del Pavimento, Como Herramienta Para Metodologías de Mantenimiento Predictivas en Pavimentos Flexibles

Abstract

This research project focused on the analysis of the deterioration of a 50-kilometer concession road in the department of Antioquia, Colombia. Periodic measurements were taken for the four indicators that make up the flexible pavement condition index: International Roughness Index (IRI), rutting, percentage of area affected by cracks and fissures, and friction coefficient. The objective was to assess the pavement condition and predict probable non-compliance dates regarding the limit established in the concession contract. To achieve this, a methodology was developed that included road segmentation per kilometer and the processing and analysis of the collected data. Linear, exponential, and logarithmic regression models were applied to establish equations describing the behavior of each indicator over time. Additionally, a dynamic deterioration visualization tool was created, allowing road maintenance personnel to access and interactively analyze the deterioration data. This tool provided a graphical representation of the indicators per kilometer, showing probable non-compliance dates and associated regression equations.

The results revealed that the majority of kilometers and lanes were in compliance with the deterioration limit established in the concession contract. However, critical sectors requiring continuous monitoring and proper intervention planning were identified.

In conclusion, this project provided an understanding of deterioration behavior on the road and demonstrated the feasibility of shifting from reactive to predictive methodologies in road infrastructure maintenance. The developed visualization tool offered an opportunity to enhance road maintenance management and make proactive decisions, contributing to a more efficient and sustainable use of resources.