Analysis of Runways Surface Conditions Using Pavement Condition Index Method (Case Study: I Gusti Ngurah Rai International Airports)

Authors

  • I Putu Dika Irvayana Civil Engineering, Politeknik Negeri Bandung, Indonesia
  • Yackob Astor Civil Engineering, Politeknik Negeri Bandung, Indonesia
  • Atmy Verani Rouly Sihombing Civil Engineering, Politeknik Negeri Bandung, Indonesia
  • Asep Sundara Civil Engineering, Politeknik Negeri Bandung, Indonesia

DOI:

https://doi.org/10.31098/cset.v2i2.554

Keywords:

Runway, Pavement Condition Index, Flexible Pavement, I Gusti Ngurah Rai International Airport

Abstract

The growth of aircraft and passenger movements every year requires the runway pavement structure to go above and beyond to accept dynamic loads caused by each type of operating aircraft. As a result of the significant growth value, it often causes the runway pavement structure to fail prematurely. Early failure of the runway pavement structure can be detected through the distress on the asphalt surface of the runway's flexible pavement. In this study, an analysis was carried out on the surface runway at I Gusti Ngurah Rai International Airport to determine the value of the runway pavement condition due to the soaring movement of aircraft and passengers at I Gusti Ngurah Rai situation in Indonesia. To obtain the value of the runway pavement conditions at I Gusti Ngurah Rai International Airport, it was analyzed using the Pavement Condition Index (PCI) method by conducting a visual inspection of the runway at I Gusti Ngurah Rai International Airport, which is divided into 30 segments with an area of each segment is about 4000 m2. The result of the analysis using the Pavement Condition Index (PCI) method is obtained that the runway at I Gusti Ngurah Rai International Airport has an average PCI value of 86.83, which is included in the very good category, the runway at I Gusti Ngurah Rai International Airport is considered to have disintegration and loss of skid resistance, with the most dominant types of damage in the form of patching, jet blast erosion, and bleeding.

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Published

2022-11-29

How to Cite

Irvayana, I. P. D., Astor, Y., Sihombing, A. V. R., & Sundara, A. (2022). Analysis of Runways Surface Conditions Using Pavement Condition Index Method (Case Study: I Gusti Ngurah Rai International Airports). RSF Conference Series: Engineering and Technology, 2(2), 1–11. https://doi.org/10.31098/cset.v2i2.554