Open Access
Issue
MATEC Web Conf.
Volume 234, 2018
BulTrans-2018 – 10th International Scientific Conference on Aeronautics, Automotive and Railway Engineering and Technologies
Article Number 01003
Number of page(s) 5
Section Aeronautics
DOI https://doi.org/10.1051/matecconf/201823401003
Published online 21 November 2018
  1. http://www.futuresky.eu/projects/noise (30.07.2018) [Google Scholar]
  2. EC, 2002, Directive 2002/49/EC of the European Parliament and of the Council of 25 June 2002 relating to the assessment and management of environmental noise, OJ L 129, 12-25 (18.7.2002) [Google Scholar]
  3. E. Boeker, E. Dinges, B. He, G, Fleming, C. Roof, P. Gerbi, A. Rapoza, J. Hermann, Integrated noise model (INM) version 7.0 technical manual, FAA-AEE-08-01 (2008) [Google Scholar]
  4. W. Krebs, Sound source data for aircraft noise simulation, Acta Acoustica united with Acustica, 90 (1), 91-100 (2004) [Google Scholar]
  5. S. Khardi, L. Abdallah, Optimization approaches of aircraft flight path reducing noise: Comparison of aircraft modelling methods, Applied Acoustics, 73, 291–301 (2012) [CrossRef] [Google Scholar]
  6. X. Menedez, Contributions to the optimisation of aircraft noise abatement procedures, Doctoral Thesis, Càtedra abertis de Gestión de Infraestructuras del Transporte Universitat Politècnica de Catalunya (2011) [Google Scholar]
  7. F. Nahayo at al., Optimal control of two-commercial aircraft dynamic system during approach, The Noise Levels Minimization. Gen. Math. Notes, 3 (2), 27-49, (2011) [Google Scholar]
  8. R. Koenig, E. Schubert, On the influences of an increased ILS glide slope on noise impact, fuel consumption and landing approach operation, AIAC14 Fourteenth Australian International Aerospace Congress, 28 February - 3 March, Melburn (2014) [Google Scholar]
  9. J. Stone, D. Groesbeck, C. Zola, Conventional profile coaxial jet noise prediction, AIAA Journal, 21 (1), 336-342 (1983) [CrossRef] [Google Scholar]
  10. J. Bridges, A. Khavaran, C. Hunter, Assessment of current jet noise prediction capabilities, 14th Aeroacoustics Conference, Vancouver, Canada, May 5-7 (2008) [Google Scholar]
  11. Airbus-AC-A320, Aircraft Characteristics - Airport And Maintenance Planning. AIRBUS S.A.S. Customer Services, Technical Data Support and Services, 31707 Blagnac Cedex, France (2016) [Google Scholar]
  12. Airbus, Training&Flight Operation support and services, Flight crew performance course, A318/A319/A320/A321, Performance Training Manual, 31707 Blagnac Cedex, France (2005) [Google Scholar]
  13. http://ww1.jeppesen.com/personalsolutions/aviation/vfr-charts.jsp (30.07.2018) [Google Scholar]
  14. https://www.aircraftnoisemodel.org/ (30.07.2018) [Google Scholar]
  15. https://www.digitaldutch.com/atmoscalc/ (30.07.2018) [Google Scholar]
  16. D. Adolfo, D. Bertini, A. Gamannossi, et C. Carcasci, Thermodynamic analysis of an aircraft engine to estimate performance and emissions at LTO cycle, 72nd Conference of the Italian Thermal Machines Engineering Association, ATI2017, 6-8 September, Lecce, Italy (2017) [Google Scholar]
  17. https://www.particleincell.com/2014/turbofancalculator/ (30.04.2018) [Google Scholar]
  18. A. Bos, Aircraft performance summary tables for the base of aircraft data (BADA) revision 3.0. EEC Technical / Scientific Reports [Google Scholar]
  19. https://travis-web01.munichairport.de/data/travis.php?lang=en&_ga=2.41081378.185368683.1524577872-2134088401.1513440516 (30.04.2018) [Google Scholar]

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