Efficient Model Updating of the GOCE Satellite Based on Experimental Modal Data

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

Authors

  • B. Goller
  • M. Broggi
  • A. Calvi
  • G. I. Schuëller

External Research Organisations

  • University of Innsbruck
  • University of Liverpool
  • European Space Research and Technology Centre (ESTEC)
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Details

Original languageEnglish
Title of host publicationComputational Methods in Stochastic Dynamics
EditorsManolis Papadrakakis, George Stefanou, Vissarion Papadopoulos
PublisherSpringer Netherlands
Pages215-235
Number of pages21
Volume2
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameComputational Methods in Applied Sciences
ISSN (Print)1871-3033
ISSN (electronic)2543-0203

Abstract

The accurate prediction of the structural response of spacecraft systems during launch and ascent phase is a crucial aspect in design and verification stages which requires accurate numerical models. The enhancement of numerical models based on experimental data is denoted model updating and focuses on the improvement of the correlation between finite element (FE) model and test structure. In aerospace industry the examination of the agreement between model and real structure involves the comparison of the modal properties of the structure. Model updating techniques have to handle several difficulties, like incomplete experimental data, measurement errors, non-unique solutions and modeling uncertainties. To cope with the computational challenges associated with the large-scale FE-models involving up to over one million degrees of freedom (DOFs), enhanced strategies are required. A large-scale numerical example, namely a satellite model, will be used for demonstrating the applicability of the employed updating procedure to complex aerospace structures.

ASJC Scopus subject areas

Cite this

Efficient Model Updating of the GOCE Satellite Based on Experimental Modal Data. / Goller, B.; Broggi, M.; Calvi, A. et al.
Computational Methods in Stochastic Dynamics. ed. / Manolis Papadrakakis; George Stefanou; Vissarion Papadopoulos. Vol. 2 Springer Netherlands, 2013. p. 215-235 (Computational Methods in Applied Sciences).

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

Goller, B, Broggi, M, Calvi, A & Schuëller, GI 2013, Efficient Model Updating of the GOCE Satellite Based on Experimental Modal Data. in M Papadrakakis, G Stefanou & V Papadopoulos (eds), Computational Methods in Stochastic Dynamics. vol. 2, Computational Methods in Applied Sciences, Springer Netherlands, pp. 215-235. https://doi.org/10.1007/978-94-007-5134-7_13
Goller, B., Broggi, M., Calvi, A., & Schuëller, G. I. (2013). Efficient Model Updating of the GOCE Satellite Based on Experimental Modal Data. In M. Papadrakakis, G. Stefanou, & V. Papadopoulos (Eds.), Computational Methods in Stochastic Dynamics (Vol. 2, pp. 215-235). (Computational Methods in Applied Sciences). Springer Netherlands. https://doi.org/10.1007/978-94-007-5134-7_13
Goller B, Broggi M, Calvi A, Schuëller GI. Efficient Model Updating of the GOCE Satellite Based on Experimental Modal Data. In Papadrakakis M, Stefanou G, Papadopoulos V, editors, Computational Methods in Stochastic Dynamics. Vol. 2. Springer Netherlands. 2013. p. 215-235. (Computational Methods in Applied Sciences). doi: 10.1007/978-94-007-5134-7_13
Goller, B. ; Broggi, M. ; Calvi, A. et al. / Efficient Model Updating of the GOCE Satellite Based on Experimental Modal Data. Computational Methods in Stochastic Dynamics. editor / Manolis Papadrakakis ; George Stefanou ; Vissarion Papadopoulos. Vol. 2 Springer Netherlands, 2013. pp. 215-235 (Computational Methods in Applied Sciences).
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