Skip to main content

Model Updating of Complex Assembly Structures Based on Substructures-Joint Parameters

  • Conference paper
  • First Online:
Topics in Model Validation and Uncertainty Quantification, Volume 4

Abstract

To study the dynamic behavior of complex assembled structures consisting of several substructures and real joints connecting them, an updated finite element model of the associated structure is required. This paper presents a new technique to create an accurate updated finite element model of such structures. Given the fact that modal testing of real joints (such as bolt with some washers) are almost impossible; in this research the updated model of the assembled structures is constructed by utilizing parametric finite element model of the joint in conjunction with modal testing of the assembly structure and its substructures. In this paper, eigen-sensitivity method (used for characterizing cost function) and genetic algorithm (used for minimization scheme) are employed to update the assembled structure as well as substructures. A laboratory-scale unsymmetrical cross-beam is employed as the case study. The actual dynamic properties of the joint (including stiffness, mass and damping matrix) of this structure were estimated. The accuracy of the estimated parameters of the model was examined by comparison of the FRFs of the real assembled structure with the ones of the updated model. By achieving full compliance between these FRFs, the accuracy and efficiency of the proposed method, in a wide frequency range, is demonstrated.

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

References

  1. Ewins DJ (2000) Modal testing: theory, practice and application. Research Studies, Hertfordshire

    Google Scholar 

  2. Maia NMM, Silva JMM (1997) Theoretical and experimental modal analysis. Research Studies, Taunton

    Google Scholar 

  3. Craig RR (2000) Coupling of substructures for dynamic analyses: an overview. In: AIAA/ASME/ASCE/AHS/ASC 41st structures, structural dynamics, and materials conference, Atlanta, pp 3–17

    Google Scholar 

  4. Klerk D, Rixen DJ, Voormeeren SN (2008) General framework for dynamic substructuring: history, review, and classification of techniques. AIAA J 46:1169–81

    Article  Google Scholar 

  5. Perera R, Ruiz A (2008) A multistage FE updating procedure for damage identification in large-scale structures based on multiobjective evolutionary optimization. Mech Syst Signal Process 22:970–991

    Article  Google Scholar 

  6. Ko JM, Sun ZG, Ni YQ (2002) Multi-stage identification scheme for detecting damage in cable-stayed Kap Shui Mun Bridge. Eng Struct 24:857–868

    Article  Google Scholar 

  7. Xia Y, Lin RM (2004) Improvement on the iterated IRS method for structural eigensolutions. J Sound Vib 270:713–727

    Article  Google Scholar 

  8. Xia Y, Lin RM (2004) A new iterative order reduction (IOR) method for eigensolutions of large structures. Int J Numer Meth Eng 59:153–172

    Article  MATH  Google Scholar 

  9. Mottershead JE, Friswell MI (1998) Editorial. Mech Syst Signal Process 12(1):1–6

    Google Scholar 

  10. Chen JC, Kou CP, Garba JA (1983) Direct structural parameter identification by modal test results. In: 24th AIAA/ASME/ASCE/AHS structural dynamics and materials conference, pp 44–49

    Google Scholar 

  11. Friswell MI, Mottershead JE (1995) Finite element model updating in structural dynamics. Kluwer, Dordrecht

    Book  MATH  Google Scholar 

  12. Mottershead JE, Mares C (2000) Selection and updating of parameters for an aluminium space-frame model. Mech Syst Signal Process 14(6):923–944

    Article  Google Scholar 

  13. Jones KW (2000) Finite element model updating using antiresonance frequencies. MS thesis, AFIT/GA/ENY/00-M08. Air Force Institute of Technology (AU), Wright-Patterson AFB, Ohio

    Google Scholar 

  14. Mottershead JE, Friswell MI (1993) Model updating in structural dynamics: a survey. J Sound Vib 167(2):347–375

    Article  MATH  Google Scholar 

  15. Doebling SW, Farrar CR, Prime MB, Shevitz DW (1996) Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review, LA-13070-MS, Los Alamos National Laboratory, Los Alamos

    Google Scholar 

  16. Friswell MI, Penny JET, Garvey SD (1998) A combined genetic and eigensensitivity algorithm for the location of damage in structures. Comput Struct 69:547–556

    Article  MATH  Google Scholar 

  17. Chow J-H, Ghaboussi J (2001) Genetic algorithm in structural damage identification. Comput Struct 79:1335–1353

    Article  Google Scholar 

  18. Levin RI, Lieven NAJ (1998) Dynamic finite element model updating using simulated annealing and genetic algorithms. Mech Syst Signal Process 12(1):91–120

    Article  Google Scholar 

  19. David Z, Keng Y (1999) Evolutionary approach for model refinement. Mech Syst Signal Process 13(4):609–625

    Article  Google Scholar 

  20. Wright AH (1991) Genetic algorithms for real parameter optimization. In: Rawlins GJE (ed) Foundation of genetic algorithms. Morgan Kaufmann, San Mateo

    Google Scholar 

  21. Adhikari S, Woodhouse J (2000) Identification of damping, part 1, viscous damping. J Sound Vib 243:43–61

    Article  Google Scholar 

  22. Goldberg DE (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley Longman, Reading

    MATH  Google Scholar 

  23. Christopher RH, Jefery AJ, Michael GK (1995) A genetic algorithm for function optimization: a matlab implementation. NCSU-IE Technical Report 95-09, North Carolina State University, Raleigh

    Google Scholar 

  24. DeJong KA (1975) Analysis of the behavior of a class of genetic adaptive systems. Ph.D. Dissertation, University of Michigan, Ann Arbor

    Google Scholar 

  25. Grefenstette JJ (1986) Optimization of control parameters for genetic algorithms. IEEE Trans Syst Man Cybern SMC-16(1):122–128

    Article  Google Scholar 

  26. Schafer JD, Caruana RA, Eshelman LJ, Das R (1989) A study of control parameters affecting online performance of genetic algorithms. In: Proceedings of the 3rd international conference on genetic algorithms, San Francisco, pp 51–60

    Google Scholar 

  27. Spendley W, Hext GR, Himsworth FR (1962) Sequential application of simplex designs in optimization and evolutionary operation. Technometrics 4(4):441–461

    Article  MathSciNet  MATH  Google Scholar 

  28. Nelder JA, Mead RA (1965) A simplex method for function minimization. Comput J 7:308–313

    Article  MATH  Google Scholar 

  29. Lewis RM, Torczon VJ, Trosset MW (2000) Direct search methods: then and now. Technical report NASA/CR-2000-210125 and ICASE Report No. 2000-26, Institute for computer applications in science and engineering, NASA Langley Research Center, Hampton (Operated by Universities Space Research Association), National Aeronautics and Space Administration Langley Research Center, Hampton, Virginia 23681-2199

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Parivash Soleimanian .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 The Society for Experimental Mechanics, Inc. 2012

About this paper

Cite this paper

Sadeghi, M.H., Soleimanian, P., Samandari, H. (2012). Model Updating of Complex Assembly Structures Based on Substructures-Joint Parameters. In: Simmermacher, T., Cogan, S., Horta, L., Barthorpe, R. (eds) Topics in Model Validation and Uncertainty Quantification, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2431-4_18

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-2431-4_18

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-2430-7

  • Online ISBN: 978-1-4614-2431-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics