Abstract
Hard landingĀ is one kind of typical landing incidents that can cause passenger discomfort, aircraft damage and even loss of life. This paper aimed to find out flight performance and operation features of hard landing incidents by using the methods of variance analysis, regression modeling and flare operation analysis based on flight QAR data. Results showed that pilots need to control the aircraft to an appropriate groundspeed and descent rate before descending to the flare initial point. Then control column and throttle operation in flare maneuver would affect landing performance conjointly. The logistic model showed that the vertical load of touching ground was actually linked with touchdown attitude and configuration closely, including three variables of pitch angle, roll angle and flap degree. These findings were expected to be applied in practice to prevent hard landing incidents and even landing accidents.
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References
Hawkins, F.H.: Human Factors in Flight, 2nd edn. Ashgate. Brookfield, VT (1993)
Wickens, C.D., Hollands, J.G.: Engineering Psychology and Human Performance, 3rd edn. Prentice Hall Press, Upper Saddle River (2000)
Harris, D.: The influence of human factors on operational efficiency. Aircraft Engineering and Aerospace TechnologyĀ 78(1), 20ā25 (2006)
Shappell, S., Detwiler, C., Holcomb, K., Hackworth, C., Boquet, A., Wiegmann, D.: Human error and commercial aviation accidents: an analysis using the human factors analysis and classification system. Human FactorsĀ 49(2), 227ā242 (2007)
Sartor, P., Bond, D.A., Staszewski, W.J., Schmidt, R.K.: Value of an overload indication system assessed through analysis of aviation occurrences. Journal of AircraftĀ 46(5), 1692ā1705 (2009)
Nie, L., Shu, P., Huang, S., Wang, X.: Intelligent Diagnosis for Hard Landing of Aircraft Based on SVM. China Safety Science JournalĀ 19(7), 149ā153 (2009)
Wang, X., Shu, P., Cao, L.: Incremental AHP based Weight Assessment for Risk Factors of Civil Aircraft Landing Process. China Safety Science JournalĀ 20(9), 112ā115 (2010)
Rosa, M.A.V., Fernando, G.C., GordĆŗn, L.M., Nieto, F.J.S.: The development of probabilistic models to estimate accident risk (due to runway overrun and landing undershoot) applicable to the design and construction of runway safety areas. Safety ScienceĀ 49(5), 633ā650 (2011)
Molesworth, B., Wiggins, M.W., OāHare, D.: Improving pilotsā risk assessment skills in low-flying operations: The role of feedback and experience. Accident Analysis and PreventionĀ 38(5), 954ā960 (2006)
Benbassat, D., Abramson, C.I.: Landing flare accident reports and pilot perception analysis. International Journal of Aviation PsychologyĀ 12(2), 137ā152 (2002)
Civil Aviation Administration of China. Implementation and Management of Flight Operation Quality Assurance. Advisory Circular: 121/135-FS-2012-45, CAAC, Beijing, China (2012)
Qi, M., Shao, X., Chi, H.: Flight operations risk diagnosis method on Quick Access Record exceedance. Journal of Beijing University of Aeronautics and AstronauticsĀ 37(10), 1207ā1211 (2011)
Wang, L., Wu, C., Sun, R.: Pilot operating characteristics analysis of long landing based on flight QAR data. In: Harris, D. (ed.) EPCE 2013, Part II. LNCS, vol.Ā 8020, pp. 157ā166. Springer, Heidelberg (2013)
Sun, R., Han, W.: Analysis on parameters characteristics of flight exceedance events based on distinction test. China Journal of Safety Science and TechnologyĀ 7(2), 22ā27 (2011)
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Wang, L., Wu, C., Sun, R., Cui, Z. (2014). An Analysis of Hard Landing Incidents Based on Flight QAR Data. In: Harris, D. (eds) Engineering Psychology and Cognitive Ergonomics. EPCE 2014. Lecture Notes in Computer Science(), vol 8532. Springer, Cham. https://doi.org/10.1007/978-3-319-07515-0_40
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DOI: https://doi.org/10.1007/978-3-319-07515-0_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07514-3
Online ISBN: 978-3-319-07515-0
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