Study of Flexible Pavement Structure Maintenance in Runways with Pavement Condition Index (PCI) Method

Rachman, Meilinda Atika; Rahman, Harmein; Subagio, Bambang Sugeng; Hendarto, Sri

doi:10.5614/jts.2020.27.1.4

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…According to Sudika et al (2021), PCI is the method used to assess runways condition rating with a value of 100 indicating the best condition and 0 indicating the worst condition (ASTM, 1998), PCI method is calculated based on the type of distress, and the quantity of distress that occurs on the runways surface that obtained by carrying out the visual assessment (Yanti et al, 2019). The PCI method aims to identify critical pavement areas (Rachman et al, 2020) that can be used to determine treatment needs to maintain the runways' pavement condition.…”

Section: Literature Review Pavement Condition Index (Pci) Methodsmentioning

confidence: 99%

“…Visual inspection is a process to collect accurate type and quantity of distress data occurring in the runways' flexible pavement structure. This inspection aims to identify the distress severity level of runways flexible pavement surfaces such as high, medium, and low (Rachman et al, 2020) that can be used as a reason for maintenance activities in Airport airside facilities management (Babashamsi et al, 2022). The research location is at I Gusti Ngurah Rai International Airport, Bali.…”

Section: Methodsmentioning

confidence: 99%

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

Irvayana

Astor²,

Sihombing³

et al. 2022

cset

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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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Section: Literature Review Pavement Condition Index (Pci) Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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

Irvayana

Astor²,

Sihombing³

et al. 2022

cset

View full text Add to dashboard Cite

show abstract

“…Asimismo, [5] en su investigación tuvieron como uno de los objetivos realizar una evaluación visual del deterioro de la pista principal del Aeropuerto SAMS aplicando el método PCI, para obtener los factores que afectan el deterioro de la pista y el tratamiento correspondiente para cada tipo de falla encontrada. Al respecto, [6] en su investigación tuvieron como objetivo evaluar la superficie de la pista de aterrizaje del aeropuerto Balikpapan Sultán Aji Muhammad Sulaiman Sepinggan para ello aplicaron el método PCI. En ese sentido [7] en su investigación han desarrollado un modelo dinámico del sistema usando Powersim para estimar el PCI promedio de diferentes prácticas de mantenimiento en un período de análisis de 20 años.…”

Section: Introductionunclassified

Surface evaluation supported by the PCI method for the severity level of asphalt pavement on airport runways

Durand

Prado

2023

uct

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The main component of the movement area of an airport is its landing strips, which must be kept in optimal conditions for the takeoff and landing of aircraft; it is vitally important to know the current state in which it is operating, in that In this sense, the objective of the investigation was to determine the surfaceevaluation of the asphalt pavement of the runway of the Alférez FAP David Figueroa Fernandini airport in Huánuco (Peru) applying the PCI methodology based on the deterioration observed on its surface. A visual inspection was carried out, measuring the types and areas of deterioration, recording on the inspection sheet provided by the ASTM D 5340 standard to analyze the PCI through the EVALPAV Software; later, the results yielded an average PCI of 62 value that quantifies the state of exemplary conservation in which the pavement is located, for which it is recommended to carry out rehabilitation of said airstrip.

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Performance zoning method of asphalt pavement in cold regions based on climate Indexes: A case study of Inner Mongolia, China

Zhao

Zhang

et al. 2022

Construction and Building Materials

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Study of Flexible Pavement Structure Maintenance in Runways with Pavement Condition Index (PCI) Method

Cited by 4 publications

References 1 publication

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

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

Surface evaluation supported by the PCI method for the severity level of asphalt pavement on airport runways

Performance zoning method of asphalt pavement in cold regions based on climate Indexes: A case study of Inner Mongolia, China

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