Issue |
MATEC Web Conf.
Volume 258, 2019
International Conference on Sustainable Civil Engineering Structures and Construction Materials (SCESCM 2018)
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Article Number | 03019 | |
Number of page(s) | 6 | |
Section | Forensic Engineering, Structural Health Monitoring System, Assessment and Retrofitting, Disaster Mitigation and Restoration | |
DOI | https://doi.org/10.1051/matecconf/201925803019 | |
Published online | 25 January 2019 |
Study of Pavement Condition Index (PCI) relationship with International Roughness Index (IRI) on Flexible Pavement.
1 Graduate Student, Civil Engineering Department, Universitas Sumatera Utara, Indonesia
2 Lecture, Civil Engineering Department, Universitas Sumatera Utara, Indonesia
* Corresponding author: rphasibuan@gmail.com
Road is an infrastructure that built to support the movement of the vehicle from one place to another for different purposes. Today, it is often found damage to road infrastructure, both local roads, and arterial roads. Therefore, to keep the pavement condition to remain reliable, in Indonesia has a periodic program by conducting an objective functional inspection of roads regulated by Bina Marga using the International Roughness Index (IRI). However, the IRI examination is not sufficient to represent the actual field condition; it is necessary to perform subjective functional examination by appraising the road one of them is Pavement Condition Index (PCI, ASTM D 6433). This method has been widely applied in some countries because it has many advantages. However, to do this inspection requires considerable cost, then there needs to be a model to get the relationship between these two parameters of the road. The selected case study was arterial road segment in Medan City, that is in Medan inner ring road. Based on the results of the analysis, there is a difference between the functional conditions of PCI and IRI. The equation derived from these two parameters is by exponential regression equation, with equation IRI = 16.07exp-0.26PCI. with R2 of 59% with correlation coefficient value (r) of -0.768. The value of R2 indicates that PCI gives a strong influence on IRI value.
© The Authors, published by EDP Sciences, 2019
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.
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