Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance
The elevation of airport runways is specified in the operations manuals and in globally accepted design guidelines. Airport runways are constantly exposed to various physical and weather factors. However, these factors can deteriorate the condition of the runway to the point where it becomes unusabl...
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doaj-6806ccc366d54119a0af6d083cfd5dbd2021-09-25T23:42:06ZengMDPI AGApplied Sciences2076-34172021-09-01118697869710.3390/app11188697Modelling of Evenness of Runways as an Element of Sustainable Airport MaintenanceDrago Sever0Damjan Doler1Boštjan Kovačič2Faculty of Civil Engineering, Transportation Engineering and Architecture, University of Maribor, Smetanova ulica 17, SI-2000 Maribor, SloveniaMinistry of the Environment and Spatial Planning, Dunajska Cesta 48, SI-1000 Ljubljana, SloveniaFaculty of Civil Engineering, Transportation Engineering and Architecture, University of Maribor, Smetanova ulica 17, SI-2000 Maribor, SloveniaThe elevation of airport runways is specified in the operations manuals and in globally accepted design guidelines. Airport runways are constantly exposed to various physical and weather factors. However, these factors can deteriorate the condition of the runway to the point where it becomes unusable. Monitoring and the continuous inspection of runway evenness is an important element of a sustainable airport maintenance system. An important element of a sustainable airport maintenance system is a runway evenness detection and modelling system. The investigation of the use of various available methods for modelling runway evenness was conducted based on measurements of the actual condition of the existing runway at Edvard Rusjan Airport in Maribor, Slovenia. During the measurements of the runway condition, our own measurement equipment was used, which ensures the geodetic accuracy of the measurements. The novelty of the article is a comparison between five different approaches to modelling runway evenness: approximation with regression plane, inverse distance weighted interpolation (IWD) with a weighting factor of 1, 2, and 10, and interpolation based on a triangulated irregular network (TIN)–linear and cubic. In the methodology section, the advantages and disadvantages of the mentioned methods were described. The selected models were evaluated by required processor time, by the file size resulting from the modelling, and by the values of the descriptive statistics of the model deviation at the average uniform slope. It was found that the modelling method using linear triangular irregular network interpolation provided the most useful results. The results of the conducted analysis can be easily used in any runway management models at airport thet allow for professionally based actions aimed at ensuring the safety and efficiency of runway operations, especially at smaller, regional airports.https://www.mdpi.com/2076-3417/11/18/8697experimental measurementmanagementrunwayevenness |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Drago Sever Damjan Doler Boštjan Kovačič |
spellingShingle |
Drago Sever Damjan Doler Boštjan Kovačič Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance Applied Sciences experimental measurement management runway evenness |
author_facet |
Drago Sever Damjan Doler Boštjan Kovačič |
author_sort |
Drago Sever |
title |
Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance |
title_short |
Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance |
title_full |
Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance |
title_fullStr |
Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance |
title_full_unstemmed |
Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance |
title_sort |
modelling of evenness of runways as an element of sustainable airport maintenance |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-09-01 |
description |
The elevation of airport runways is specified in the operations manuals and in globally accepted design guidelines. Airport runways are constantly exposed to various physical and weather factors. However, these factors can deteriorate the condition of the runway to the point where it becomes unusable. Monitoring and the continuous inspection of runway evenness is an important element of a sustainable airport maintenance system. An important element of a sustainable airport maintenance system is a runway evenness detection and modelling system. The investigation of the use of various available methods for modelling runway evenness was conducted based on measurements of the actual condition of the existing runway at Edvard Rusjan Airport in Maribor, Slovenia. During the measurements of the runway condition, our own measurement equipment was used, which ensures the geodetic accuracy of the measurements. The novelty of the article is a comparison between five different approaches to modelling runway evenness: approximation with regression plane, inverse distance weighted interpolation (IWD) with a weighting factor of 1, 2, and 10, and interpolation based on a triangulated irregular network (TIN)–linear and cubic. In the methodology section, the advantages and disadvantages of the mentioned methods were described. The selected models were evaluated by required processor time, by the file size resulting from the modelling, and by the values of the descriptive statistics of the model deviation at the average uniform slope. It was found that the modelling method using linear triangular irregular network interpolation provided the most useful results. The results of the conducted analysis can be easily used in any runway management models at airport thet allow for professionally based actions aimed at ensuring the safety and efficiency of runway operations, especially at smaller, regional airports. |
topic |
experimental measurement management runway evenness |
url |
https://www.mdpi.com/2076-3417/11/18/8697 |
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