Indicative assessment of the load bearing capacity of artificial airfield pavements

Author:

Grabowski Paweł1ORCID,Blacha Krzysztof1ORCID,Pietruszewski Paweł2ORCID

Affiliation:

1. Instytut Techniczny Wojsk Lotniczych

2. Air Force Institute of Technology Instytut Techniczny Wojsk Lotniczych

Abstract

The load bearing capacity of airfield pavements is currently determined with the ACN-PCN method. It should also be noted that existing studies in the discussed area refer only to assessment of the surface’s current technical condition. Due to the above, actions were taken to collect data from the selected airport facilities in order to analyze changes in its parameters over a longer period of time. The measurements were carried out over a period of several years, on the same airport facilities and on the same airport’s functional elements. The obtained results were used to develop a methodology for index airfield pavement assessment and to determine criteria for technical condition assessment. Knowledge of the above parameters allows to determine the APCI index describing the current, comprehensive technical condition of the surface, allowing for forecasting further activities related to its operation.

Publisher

Index Copernicus

Reference11 articles.

1. ASTM D6433-18, Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys, ASTM International, West Conshohocken 2018.

2. UFC 3-260-16, O&M Manual: Standard Practice for Airfield Pavement Condition Surveys, United Facilities Criteria, Department of Defence, United States of America 2019.

3. P. Nita, Budowa i utrzymanie nawierzchni lotniskowych. Warszawa: Wydawnictwa Komunikacji i Łączności, 1999, 2008.

4. P. Barszcz and K. Blacha, „Wielokryterialna metoda oceny stopnia zdegradowania nawierzchni elementów funkcjonalnych lotnisk wykonanych z betonu cementowego”, Autobusy: technika, eksploatacja, systemy transportowe, R.17, nr 12, 2016.

5. M. Wesołowski, K. Blacha and P. Iwanowski, “Complex Method of Airfield Pavement Condition Evaluation Based on APCI Index”, Applied Sciences 2022.

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