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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2015, Vol. 36 ›› Issue (11): 3578-3585.doi: 10.7527/S1000-6893.2015.0097

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Sinking velocity impact analysis of carrier-based aircraft based on test data

FENG Yunwen1, LIU Sihong1, XUE Xiaofeng1, CUI Shuai2, PAN Wenting3   

  1. 1. School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China;
    2. Shanghai Engineering Center for Microsatellites, Chinese Academy of Sciences, Shanghai 200050, China;
    3. The First Aircraft Institute, AVIC, Xi'an 710089, China
  • Received:2014-12-02 Revised:2015-04-02 Online:2015-11-15 Published:2015-04-27
  • Supported by:

    National Natural Science Foundation of China (10577015);Aeronautical Science Foundation of China (2008ZA53006, 2006ZD53050)

Abstract:

The sinking velocity of carrier-based aircraft is an important input for landing gear design and has a great influence on the weight of the landing gear and airframe structure. Aimed at exploring the effect of the various related landing parameters on sinking velocity for carrier-based aircraft in the actual service environment and based on E-2C measured landing data, correlation analysis of multivariate statistics is applied to the impact analysis of landing parameters on sinking velocity. Seventeen landing parameters are analyzed in the compaction-analysis and the results show that aircraft glide path angle and deck pitch angle are highly correlated with sinking velocity; engaging velocity is moderately correlated with sinking velocity. These three parameters have a great influence on sinking velocity. Nonlinear regression analysis is carried out on the four landing parameters and a fitting equation of E-2C sinking velocity is obtained. The coefficient of determination of the regression model is 0.991 and the mean absolute error is 1.66%, thus the model provides a preferable fitting effect.

Key words: carrier-based aircraft, landing, landing gear, sinking velocity, impact analysis

CLC Number: