One of the most significant factors that affects the location of airport elements is the optimum runway orientation. In this study, a new model called Calculation of Optimum Runway Orientation (CORO) is developed with an approach different from the previous related models. All models previously developed to solve the problem of optimum runway orientation are based on the Federal Aviation Administration (FAA) wind rose methodology. Alternatively, in the new model, the number of wind observations is used directly in the calculations without grouping wind velocities; the use of wind percentages is also excluded. The new model is written in CSharp (C#) programming language, which can be operated within a Windows environment. The proposed model is tested and compared to existing methods by using two different numerical examples to ascertain its accuracy and reliability. Since the errors arising from partial coverage problem and the FAA’s assumption defined in wind rose methodology are eliminated, it can be argued easily that it is possible to obtain more accurate results from the new model.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    New Model for the Optimization of Runway Orientation


    Beteiligte:
    Oktal, Hakan (Autor:in) / Yildirim, Nilgün (Autor:in)


    Erscheinungsdatum :

    2013-12-17




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt



    Optimization of Runway Orientation

    Mousa, R. M. / Mumayiz, S. A. | British Library Online Contents | 2000


    New Model for the Optimization of Runway Orientation

    Oktal, Hakan | Online Contents | 2014


    New Model for the Optimization of Runway Orientation

    Oktal, H. / Yildirim, N. | British Library Online Contents | 2014


    TECHNICAL PAPERS - Optimization of Runway Orientation

    Mousa, Ragab M. | Online Contents | 2000


    Runway Location and Orientation Suitability Analysis

    Laat, Jaap de / Roling, Paul C. | AIAA | 2014