Failure simulation and identification of shock absorber in carrier-based aircraft landing gear

Hui Yang, Fangyi Wan, Weimin Cui

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The gas-oil leakage in the shock absorber of carrier-based aircraft landing gear is a frequent and common failure, which can deteriorate the absorbing performance. However rarely research is done to quantitatively analysis the coupling effect of gas-oil leakage on the absorbing performance. In this paper, the failure simulation and identification of shock absorber is studied by numerical modeling and simulation experiment. To analyze the effect of gas-oil leakage on the shock absorber, the equivalent air spring stiffness is deduced. And Kringing model is introduced to surrogate gas-oil leakage to further present the relation of corresponding shock absorber time to residual gas quantity and oil volume. Then an efficient method is proposed to identify the failure of gas-oil leakage. The simulation experiment is designed to verify the theory presented in this paper. The result of numerical model explains that the gas cushioning property is influenced by both gas and oil property. The simulation model is used to obtain the coupling effect curve of gas-oil leakage on the absorbing time. Eventually the analytical results show that the shock absorber performance varies with different gas-oil ratio caused by gas-oil leakage.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509003822
DOIs
StatePublished - 12 Aug 2016
Event2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016 - Ottawa, Canada
Duration: 20 Jun 201622 Jun 2016

Publication series

Name2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016

Conference

Conference2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016
Country/TerritoryCanada
CityOttawa
Period20/06/1622/06/16

Keywords

  • failure simulation and identification
  • gas-oil leakage
  • Kringing model
  • shock absorbing
  • simulation experiment

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