Skip to main content
Log in

Substructural interface force identification with limited vibration measurements

  • Original Paper
  • Published:
Journal of Civil Structural Health Monitoring Aims and scope Submit manuscript

Abstract

This paper presents a dynamic substructural interface force identification approach with limited vibration measurements from the target substructure. The substructure is considered to be subjected to both the external excitation forces at some specific degrees-of-freedom (DOFs) within the substructure and the interface forces at interface DOFs. The interface force time histories are represented as orthogonal polynomials and their discrete Fourier transform is expressed in the matrix multiplication form which transforms the time domain interface forces into their Fourier transforms in the frequency domain. A frequency-time domain method is used to formulate the identification equation based on the relationship between two sets of response vectors in a substructure. The coefficients of orthogonal functions are identified with the Tikhonov regularization technique. Numerical studies on a seven-storey plane frame structure are conducted to investigate the accuracy and efficiency of the proposed substructure interface force identification approach.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Koh CG, Shankar K (2003) Substructural identification method without interface measurement. J Eng Mech-ASCE 129(7):769–776

    Article  Google Scholar 

  2. Li J, Hao H (2014) Substructure damage identification based on wavelet domain response reconstruction. Struct Health Monit 13(4):389–405

    Article  Google Scholar 

  3. Varoto PS, Mcconnell KG (1999) On the identification of interface forces and motions in coupled structures. In: Proceedings of 17th International Modal Analysis Conference, Kissimmee FL, pp 2031–2037

  4. Huang HW, Yang JN (2008) Damage identification of substructure for local health monitoring. Smart Struct Syst 4(6):795–807

    Article  Google Scholar 

  5. Law SS, Zhang K, Duan ZD (2010) Structural damage detection from coupling forces between substructures under support excitation. Eng Struct 32(8):2221–2228

    Article  Google Scholar 

  6. Sandesh S, Shankar K (2009) Time domain identification of structural parameters and input time history using a substructural approach. Int J Struct Stab Dy 9(2):243–265

    Article  MATH  Google Scholar 

  7. Liu K, Law SS, Zhu XQ (2015) Substructural condition assessment based on force identification and interface force sensitivity. Int J Struct Stab Dy 15(2):1450046

    Article  MathSciNet  Google Scholar 

  8. Hao H, Xia Y (2002) Vibration-based damage detection of structures by genetic algorithm. J Comput Civil Eng ASCE 16(3):222–229

    Article  Google Scholar 

  9. Koh CG, Hong B, Liaw CY (2003) Substructural and progressive structural identification methods. Eng Struct 25(12):1551–1563

    Article  Google Scholar 

  10. Yun CB, Bahng EY (2000) Substructural identification using neural networks. Comput Struct 77(1):41–52

    Article  Google Scholar 

  11. Wilson EL (2004) Static and dynamic analysis of structures: a physical approach with emphasis on earthquake engineering, 4th edn. Computers and Structures, Inc, Berkeley

    Google Scholar 

  12. Newmark NW (1959) A method of computation for structural dynamics. J Eng Mech Div ASCE 85(3):67–94

    Google Scholar 

  13. Ribeiro AMR, Silva JMM, Maia NMM (2000) On the generalization of the transmissibility concept. Mech Syst Signal Pr 14(1):29–35

    Article  Google Scholar 

  14. Law SS, Li J, Ding Y (2011) Structural response reconstruction with transmissibility concept in frequency domain. Mech Syst Signal Pr 25(3):952–968

    Article  Google Scholar 

  15. Li J, Law SS, Ding Y (2012) Substructure damage identification based on response reconstruction in frequency domain and model updating. Eng Struct 41:270–284

    Article  Google Scholar 

  16. Penrose R (1955) A generalized inverse for matrices. Math Proc Cambridge 51:406–413

    Article  MathSciNet  MATH  Google Scholar 

  17. Trinh TN, Koh CG (2012) An improved substructural identification strategy for large structural systems. Struct Control Hlth 19(8):686–700

    Article  Google Scholar 

  18. Law SS, Chan THT, Zeng QH (1999) Moving force identification-A frequency and time domains analysis. J Dyn Syst T ASME 121(3):394–401

    Article  Google Scholar 

  19. Bendat JS, Piersol AG (1993) Engineering applications of correlation and spectral analysis, 2nd edn. Wiley, New York

    MATH  Google Scholar 

  20. Rao KR, Yip PC (2001) The transform and data compression handbook. CRC Press, Boca Raton

    MATH  Google Scholar 

  21. Tikhonov AN, Arsenin VY (1977) Solutions of ill-posed problems. Winston & Sons, Washington

    MATH  Google Scholar 

  22. Hansen PC (1992) Analysis of discrete ill-posed problems by means of the L-curve. SIAM Rev 34(4):561–580

    Article  MathSciNet  MATH  Google Scholar 

  23. Chopra AK (2007) Dynamics of structures: theory and applications to earthquake engineering. Prentice Hall, Upper Saddle River, NJ

    Google Scholar 

  24. Verboven P, Guillanume P, Cauberghe S, Vanlanduit S, Parloo E (2004) Modal parameter estimation from input–output Fourier data using frequency-domain maximum likelihood identification. J Sound Vib 276(3–5):957–979

    Article  Google Scholar 

  25. Garcia-Palencia AJ, Santini-Bell E (2014) Structural model updating using dynamic data. J Civil Struct Health Monit 4(3):177–194

    Article  Google Scholar 

  26. Zhu XQ, Law SS, Hao H (2009) Damage assessment of reinforced concrete beams including the load environment. Struct Eng Mech 33(6):765–779

    Article  Google Scholar 

Download references

Acknowledgments

The work described in this paper was supported by Australian Research Council Discovery Early Career Researcher Award DE140101741 “Development of a Self-powered Wireless Sensor Network from Renewable Energy for Integrated Structural Health Monitoring and Diagnosis”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jun Li.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, J., Hao, H. Substructural interface force identification with limited vibration measurements. J Civil Struct Health Monit 6, 395–410 (2016). https://doi.org/10.1007/s13349-016-0157-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13349-016-0157-8

Keywords

Navigation