Skip to main content

Abstract

Estimation of structural dynamic modes associated with complicated spacecraft and launch vehicle assembly modal test articles is often a challenging endeavor. The mathematical process of modal parameter estimation, applied to measured FRF arrays, yields actual and artificial “noise” modes. Left-hand eigenvectors, estimated as part of the SFD modal identification technique, are used to compute SDOF modal FRFs from (a) the measured FRF array and (b) the estimated “effective” dynamic system. Both graphical displays of candidate SDOF modal FRFs and a modal “coherence” metric provide objective means of separating actual, credible system modes from artificial “noise” modes. Evaluation of modal test data for a Space Launch System component demonstrates the value of the new Experimental Mode Verification (EMV) technique.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Coppolino, R.: Chapter 23: finite element methods of analysis. In: Piersol, A., Paez, T. (eds.) Harris’ Shock and Vibration Handbook, 6th edn. McGraw-Hill, New York (2010)

    Google Scholar 

  2. Allemang, R., Brown, D.: Chapter 21: experimental modal analysis. In: Piersol, A., Paez, T. (eds.) Harris’ Shock and Vibration Handbook, 6th edn. McGraw-Hill, New York (2010)

    Google Scholar 

  3. Load analyses of spacecraft and payloads, NASA-STD-5002 (1996)

    Google Scholar 

  4. Independent structural loads analysis, Air Force Space Command, SMC-S-004 (2008)

    Google Scholar 

  5. Coppolino, R.: Methodologies for verification and validation of space launch system (SLS) structural dynamic models, NASA CR-2018-219800/Volume I (2018)

    Google Scholar 

  6. Coppolino, R.: Modal test-analysis correlation using left-hand eigenvectors, IMAC XXXVII (2019)

    Google Scholar 

  7. Mayes, R., Klenke, S.: The SMAC modal parameter extraction package, IMAC XVII (1999)

    Google Scholar 

  8. Coppolino, R.: A simultaneous frequency domain technique for estimation of modal parameters from measured data, SAE Paper 811046 (1981)

    Google Scholar 

  9. Coppolino, R., Stroud, R.: A global technique for estimation of modal parameters from measured data, SAE Paper 851926 (1985)

    Google Scholar 

  10. Coppolino, R.: Efficient and enhanced options for experimental mode identification, IMAC XXI (2003)

    Google Scholar 

  11. Penrose, R.: A generalized inverse for matrices. Proc. Camb. Philos. Soc. 51, 406–413 (1955)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Robert N. Coppolino .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Society for Experimental Mechanics, Inc.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Coppolino, R.N. (2020). Experimental Mode Verification (EMV) Using Left-Hand Eigenvectors. In: Walber, C., Walter, P., Seidlitz, S. (eds) Sensors and Instrumentation, Aircraft/Aerospace, Energy Harvesting & Dynamic Environments Testing, Volume 7. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-030-12676-6_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-12676-6_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12675-9

  • Online ISBN: 978-3-030-12676-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics