• DocumentCode
    3311575
  • Title

    Fuzzy Fatigue Reliability Analysis for a Landing Gear Structure

  • Author

    Wang, Hong ; Xue, CaiJun ; Jiang, WenTao

  • Author_Institution
    Key Lab. of Fundamental Sci. for Nat. Defence-Adv. Design Technol. of Flight Vehicle, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    28-31 May 2010
  • Firstpage
    112
  • Lastpage
    115
  • Abstract
    According to the conventional structure reliability theory, the bigger stress than the fatigue limit will bring some damage which can be accumulated. When the stress is smaller than the fatigue limit, there will be no damage to the structure. The model uncertainty can not be disposed very well by the conventional fatigue reliability theory. Fuzzy math theory can be used to describe the model uncertainty. So, the fuzziness of structural fatigue problem is described in this paper and calculated by the fuzzy math theory. The "cumulative damage - critical damage" dynamic interference model based on the Miner linear cumulative fatigue damage theory is established. Taking a nose landing gear as an example, the fatigue damage is predicted first through the fatigue analysis. The varying reliability along with the fatigue life of the landing gear can be obtained by the fuzzy math theory. The results show that the fuzzy fatigue reliability analysis has much more practicality and flexibility.
  • Keywords
    aircraft landing guidance; fatigue testing; fuzzy set theory; reliability theory; uncertain systems; fuzzy fatigue reliability analysis; fuzzy math theory; landing gear structure; miner linear cumulative fatigue damage theory; model uncertainty; structure reliability theory; Aerodynamics; Aircraft; Design optimization; Fatigue; Gears; Interference; Reliability theory; Stress; Uncertainty; Vehicle dynamics; dynamic interference model; fuzzy fatigue reliability; landing gear; model uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Optimization (CSO), 2010 Third International Joint Conference on
  • Conference_Location
    Huangshan, Anhui
  • Print_ISBN
    978-1-4244-6812-6
  • Electronic_ISBN
    978-1-4244-6813-3
  • Type

    conf

  • DOI
    10.1109/CSO.2010.130
  • Filename
    5532954