Structural design of airport runway Case study: Jos Orno Imsula MOA Airport

Khoemarga, Kelly V; Tajudin, Anissa Noor

doi:10.1088/1757-899x/852/1/012013

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…The development of algorithms for automatic recognition or extraction of deformities from these recordings, and determination of the dimensions and classification of the deformities, are common to the previous studies [34]. Research on the usage of geodetic measurement methods in determining vertical deviations and detecting deformities on the surface of runways, and the prediction of the formation of new Detecting deformities and determining their shape and dimensions are complex processes which demand an interdisciplinary approach [24][25][26][27]. Recently, automated acquisition and processing of spatial data about road and runway deformities has been the subject of numerous pieces of research [28][29][30][31][32][33][34][35][36].…”

Section: Methodsmentioning

confidence: 99%

Innovative Business Model for the Management of Airports in Purpose to Identify Runway Damage in Time

Kovačić

Doler²,

Sever

2021

Sustainability

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Runways are exposed to significant burdens and other external factors that cause their deformation. Monitoring runway deformities and determining the resulting damage is a complicated procedure which requires a rapid and accurate assessment of these deformities and evaluation of the damage they cause. In this study, an optimized process to determine this damage based on geodetic measurements was developed. A novelty of our research is a prototype model for the maintenance of smaller airport runways with an emphasis on damage detection. The model is also intended for sustainable development, as it is open source in which we can enter various data. A model and algorithm that enables tabulation and graphical display of surface anomalies were developed for the detailed analysis of the collected data. This model allows monitoring of runway deformities to determine the resulting damage, thus facilitating timely planning of necessary maintenance. As a result, unexpected runway closures and related high costs can be prevented. In this study, we also compared the obtained results with those obtained using the open-source program Quantum GIS (QGIS) to confirm the accuracy and applicability of the algorithm.

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Section: Methodsmentioning

confidence: 99%

Innovative Business Model for the Management of Airports in Purpose to Identify Runway Damage in Time

Kovačić

Doler²,

Sever

2021

Sustainability

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“…Geodetic methods are non-invasive and allow for accurate inspection of on the surface [33]. The authors of [33] conclude that accurate monitoring and prediction of runway condition are the main elements of developing measurement models, such as global navigation satellite system (GNSS) methods and light detection and ranging (LiDAR) technology and synthetic aperture radar (SAR) interferometry, to study runway deformations (i.e., deformations on the surface) [34][35][36][37][38][39][40][41]. The use of these approaches has not been adequately explored in the accessible literature.…”

Section: Methods For Measuring the Evenness Of Airport Runwaysmentioning

confidence: 99%

Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance

Sever

Doler²,

Kovačić

2021

Applied Sciences

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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.

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“…Daggubati, Nazneen and Raj (2014), investigates the runway design and the structural design of airfield pavement applying the topographical, meteorological, and geological data in the airport site. The structural design of airport runway and pavement thickness were examined in Ref (Khoemarga and Tajudin, 2019) using the Airplane Reference Field Length (ARFL) method for calculating the length of the runway, and Federal Aviation Administration (FAA) regulations for calculating the pavement thickness.…”

Section: Introductionmentioning

confidence: 99%

Insight into Genaveh 11-29 Runway Geometric Redesign Based on Meteorological Synoptic Data

Haghighi

Asadi

Delahaye

2021

Journal of Aviation Research

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Structural design of airport runway Case study: Jos Orno Imsula MOA Airport

Cited by 4 publications

References 1 publication

Innovative Business Model for the Management of Airports in Purpose to Identify Runway Damage in Time

Innovative Business Model for the Management of Airports in Purpose to Identify Runway Damage in Time

Modelling of Evenness of Runways as an Element of Sustainable Airport Maintenance

Insight into Genaveh 11-29 Runway Geometric Redesign Based on Meteorological Synoptic Data

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