Citas bibligráficas
Pinedo, J., Diaz, J. (2023). Medición y comparación de la rugosidad en pavimentos de la ciudad de Tarapoto: mediante Smartphone y un método tradicional [Universidad Nacional de San Martín. Fondo Editorial]. http://hdl.handle.net/11458/5337
Pinedo, J., Diaz, J. Medición y comparación de la rugosidad en pavimentos de la ciudad de Tarapoto: mediante Smartphone y un método tradicional []. PE: Universidad Nacional de San Martín. Fondo Editorial; 2023. http://hdl.handle.net/11458/5337
@misc{renati/1057519,
title = "Medición y comparación de la rugosidad en pavimentos de la ciudad de Tarapoto: mediante Smartphone y un método tradicional",
author = "Diaz Yauyo, Jose Arturo",
publisher = "Universidad Nacional de San Martín. Fondo Editorial",
year = "2023"
}
Pavement roughness measurement and comparison in the city of Tarapoto: using Smartphone and a traditional method. In Peru a deficiency exists in the control of the pavement condition of roads and cities, this is mainly due, among other reasons, to the high economic cost of a study to determine the IRI (International Roughness Index), the main international parameter to classify the condition of a road. In response to such situation, there are low-cost alternatives that help to determine it, among them the RoadBump smartphone application. In the present investigation, three study sections were delimited and their longitudinal profile survey was carried out using the engineer level and sight (Class 1). using the computer application ProVAL to apply the Quarter car filter (Quarter car Simulation). Using the computer application ProVAL to apply the quarter car filter (Quarter car Simulation), the IRI was determined, which was compared with those obtained by the smartphone application RoadBump (class 3) under different combinations of factors. It was determined that the best results were obtained using a car at a speed of 35 km/h, with a tire pressure of 27 PSI (-3 PSI below the standard), yielding an average error of 10.17%. In addition, a linear regression formula was determined with this data, with which further adjustment of the data was possible, reducing the average error to 0.45%. This showed that there is a correlation of 88.76% between the IRI obtained by the traditional method (sight and level) and the IRI obtained by a smartphone (RoadBump). According to these results, it was possible to determine the average IRI of the existing pavement on the Tarapoto bypass road (12.9 km), determining, under optimal data collection conditions for the RoadBump application and using the linear regression formula, an IRI of 2.922 m/km for the right lane and 2.923 m/km for the left lane, classifying the pavement as regular according to AASHTO. Thus concluding that RoadBump is a tool that shows very accurate results (IRI) (88.76% similarity) under specific conditions and using the engineer level and the sight as a calibration tool.
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons