期刊文献+

A hierarchical updating method for finite element model of airbag buffer system under landing impact 被引量:2

A hierarchical updating method for finite element model of airbag buffer system under landing impact
原文传递
导出
摘要 In this paper, we propose an impact finite element (FE) model for an airbag landing buf- fer system. First, an impact FE model has been formulated for a typical airbag landing buffer system. We use the independence of the structure FE model from the full impact FE model to develop a hierarchical updating scheme for the recovery module FE model and the airbag system FE model. Second, we define impact responses at key points to compare the computational and experimental results to resolve the inconsistency between the experimental data sampling frequency and experi- mental triggering. To determine the typical characteristics of the impact dynamics response of the airbag landing buffer system, we present the impact response confidence factors (IRCFs) to evalu- ate how consistent the computational and experiment results are. An error function is defined between the experimental and computational results at key points of the impact response (KPIR) to serve as a modified objective function. A radial basis function (RBF) is introduced to construct updating variables for a surrogate model for updating the objective function, thereby converting the FE model updating problem to a soluble optimization problem. Finally, the developed method has been validated using an experimental and computational study on the impact dynamics of a classic airbag landing buffer system. In this paper, we propose an impact finite element (FE) model for an airbag landing buf- fer system. First, an impact FE model has been formulated for a typical airbag landing buffer system. We use the independence of the structure FE model from the full impact FE model to develop a hierarchical updating scheme for the recovery module FE model and the airbag system FE model. Second, we define impact responses at key points to compare the computational and experimental results to resolve the inconsistency between the experimental data sampling frequency and experi- mental triggering. To determine the typical characteristics of the impact dynamics response of the airbag landing buffer system, we present the impact response confidence factors (IRCFs) to evalu- ate how consistent the computational and experiment results are. An error function is defined between the experimental and computational results at key points of the impact response (KPIR) to serve as a modified objective function. A radial basis function (RBF) is introduced to construct updating variables for a surrogate model for updating the objective function, thereby converting the FE model updating problem to a soluble optimization problem. Finally, the developed method has been validated using an experimental and computational study on the impact dynamics of a classic airbag landing buffer system.
出处 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2015年第6期1629-1639,共11页 中国航空学报(英文版)
基金 co-supported by the National Natural Science Foundation of China(No.11472132) the Fundamental Research Funds for Central Universities in China(No.NS2014002) the Research Fund of State Key Laboratory of Mechanics and Control of Mechanical Structures(Nanjing University of Aeronautics and Astronautics)(No.0113Y01) the Priority Academic Program Development(PAPD)of Jiangsu Higher Education Institutions in China
关键词 AIRBAG Hierarchical model IMPACT Model updating Radial basis function Airbag Hierarchical model Impact Model updating Radial basis function
  • 相关文献

参考文献22

  • 1Chen JC, Garba JA. Analytical model improvement using modal test results. AIAA J 1980;18(6):684-90.
  • 2Goge D, Link M. Results obtained by minimizing natural frequency and mode shape errors of a beam model. Mech Syst Signal Process 2003;17(1):21-7.
  • 3Chakraborty S, Sen A. Adaptive response surface based efficient finite element model updating. Finite Elem Anal Des 2014;80: 3340.
  • 4Goge D. Automatic updating of large aircraft models using experimental data from ground vibration testing. Aerosp Sci Technol 2003;7(1):33-45.
  • 5Dascotte E, Strobbe J, Hua H. Sensitivity-based model updating using multiple types of simultaneous state variables. Proceedings of the 13th International Modal Analysis Conference; 1995 February 13-16;.
  • 6Nashville, TN. Bethel, CT: Society for Experimental Mechanics; 1995. p. 1113 6. D'ambrogio W, Fregolent A. Results obtained by minimising natural frequency and antiresonance errors of a beam model. Mech Syst Signal Process 2003;17(1):29-37.
  • 7Thonon C, Golinval JC. Results obtained by minimising natural frequency and MAC-value errors of a beam model. Mech Syst Signal Process 2003;17(1):65-72.
  • 8Hanson D, Waters TP, Thompson D J, Randall RB, Ford RAJ. The role of anti-resonance frequencies from operational mode analysis in finite element model updating. Mech Syst Signal Process 2007;21(1):74-97.
  • 9Goller B, Schueller GI. Investigation of model uncertainties in Bayesian structural model updating. J Sound Vib 2011;330 (25):6122-36.
  • 10Goller B, Broggi M, Calvi A, Schueller GI. A stochastic model updating technique for complex aerospace structures. Finite Elem Anal Des 2011;47(7):739-52.

同被引文献27

引证文献2

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部