Challenges in estimating airfield pavement strength

• A model for estimating PCR through PCN is developed. • The presented approach is preferable compared to the “using aircraft” method for PCR estimation. • The study aims to support airfield decision-making planning procedures. Τhe knowledge of the bearing capacity of airfield pavements consists a valuable information for airport authorities in terms of airport asset management. This information can be also used for reporting the load-bearing capacity of airfield pavements according to globally recognized systems, which provide a useful communication code between the involved parties. However, since a detailed technical evaluation for accurately assessing the bearing capacity of an airfield pavement may be not always feasible in practice, reporting through the newly introduced index denoted as (Pavement Classification Rating) PCR becomes a challenging task. On this basis historical data of the existing (Pavement Classification Number) PCN index already available to airport authorities may be also useful. Therefore, the present study aims to investigate the existence of any potential correlation between PCN and PCR that could provide an overview of the modified reported strength expressed through PCR, in order to optimize decision-making procedures. For this reason, the PCN and PCR indices for various flexible and rigid airfield pavement cross-sections are determined according to Federal Aviation Administration (FAA) procedures. The study demonstrates the benefits of developing a model, which can provide a useful tool for airport authorities in order to support decision-making planning optimization in terms of airport asset management.

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Publication Details

Journal
Transportation Engineering
Published
2025-05-08
DOI
https://doi.org/10.1016/j.treng.2025.100343
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
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article

Challenges in estimating airfield pavement strength

Angeliki Armeni, Andreas Loizos
Transportation Engineering
Infrastructure Maintenance and Monitoring
article

Challenges in estimating airfield pavement strength

Angeliki Armeni, Andreas Loizos
article en

Abstract

• A model for estimating PCR through PCN is developed. • The presented approach is preferable compared to the “using aircraft” method for PCR estimation. • The study aims to support airfield decision-making planning procedures. Τhe knowledge of the bearing capacity of airfield pavements consists a valuable information for airport authorities in terms of airport asset management. This information can be also used for reporting the load-bearing capacity of airfield pavements according to globally recognized systems, which provide a useful communication code between the involved parties. However, since a detailed technical evaluation for accurately assessing the bearing capacity of an airfield pavement may be not always feasible in practice, reporting through the newly introduced index denoted as (Pavement Classification Rating) PCR becomes a challenging task. On this basis historical data of the existing (Pavement Classification Number) PCN index already available to airport authorities may be also useful. Therefore, the present study aims to investigate the existence of any potential correlation between PCN and PCR that could provide an overview of the modified reported strength expressed through PCR, in order to optimize decision-making procedures. For this reason, the PCN and PCR indices for various flexible and rigid airfield pavement cross-sections are determined according to Federal Aviation Administration (FAA) procedures. The study demonstrates the benefits of developing a model, which can provide a useful tool for airport authorities in order to support decision-making planning optimization in terms of airport asset management.

Transportation EngineeringVol. 20
National Technical University of Athens (GR)
Climate action
Openalex Percentile: Top 90%
Infrastructure Maintenance and Monitoring
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Challenges in estimating airfield pavement strength — Angeliki Armeni, Andreas Loizos · Transportation Engineering (2025) | TGRS Research Map | TGRS