Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
---|---|---|
Article Number | 01202 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/e3sconf/202339101202 | |
Published online | 05 June 2023 |
Evaluation of flexible pavement performance based on HDM-4 and international roughness index
1 Department of Civil Engineering, VNRVJIET, Hyderabad, TS.
2 Assistant Professor, Department of Civil Engineering, SRIT, Anantapur, AP
The HDM-4 aids in estimating the deterioration of the pavement as well as the intricate interactions between the environment, vehicles, the surface, and the structure of the pavement. It predicts how the roads will deteriorate over time due to the increased traffic. The current study was carried out at Hyderabad, particularly roads which are subjected to the heavy traffic. The study was adopted for Dhulapally to Bahadurpally (DB), Gandimaisamma to Bowrampet (GB), Gandimaisamma to Medchal (GM), and Kompally to Dhulapally (KD). Among these roads commonly observed distress was collected like patches, alligator cracking, pothole, rutting, and edge drop etc. This papers describes the current and future performance of the roads (10 years), the progress of the distress were predicted using the HDM-4. The study addresses the major causes of distress and their reasons of given section. The study concluded the prediction of pavement life for 10 years in terms of IRI values of the different sections. The study revealed the failure of roads section due to distress for the period of 10 years with and without maintenance, it also helps in decision making for apply further maintenance treatment of this particular routes.
Key words: Patches / potholes / Rutting / Alligator cracking / IRI / and HDM-4
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.