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Fundamental modeling issues on benchmark structure for structural health monitoring

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Abstract

The IASC-ASCE Structural Health Monitoring Task Group developed a series of benchmark problems, and participants of the benchmark study were charged with using a 12-degree-of-freedom (DOF) shear building as their identification model. The present article addresses improperness, including the parameter and modeling errors, of using this particular model for the intended purpose of damage detection, while the measurements of damaged structures are synthesized from a full-order finite-element model. In addressing parameter errors, a model calibration procedure is utilized to tune the mass and stiffness matrices of the baseline identification model, and a 12-DOF shear building model that preserves the first three modes of the full-order model is obtained. Sequentially, this calibrated model is employed as the baseline model while performing the damage detection under various damage scenarios. Numerical results indicate that the 12-DOF shear building model is an over-simplified identification model, through which only idealized damage situations for the benchmark structure can be detected. It is suggested that a more sophisticated 3-dimensional frame structure model should be adopted as the identification model, if one intends to detect local member damages correctly.

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References

  1. Doebling S W, Farrar C R, Prime M B, et al. Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review. Report LA-13070-MS, Alamos National Laboratory, Los Alamos, N M, 1996

    Google Scholar 

  2. Doebling S W, Farrar C R, Prime M B. A summary review of vibration-based damage identification methods. Shock Vib Dig, 1998, 30(2): 91–105

    Article  Google Scholar 

  3. Sohn H, Farrar C R, Hemez F M, et al. A review of structural health monitoring literature: 1996–2001. Report LA-13976-MS, Los Alamos National Laboratory, Los Alamos, N M, 2003

    Google Scholar 

  4. Johnson E A, Lam H F, Katafygiotis L S, et al. Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data. J Eng Mech, 2004, 130(1): 3–15

    Article  Google Scholar 

  5. Lam H F, Katafygiotis L S, Mickleborough N C. Application of a statistical model updating approach on phase I of the IASC-ASCE structural health monitoring benchmark study. J Eng Mech, 2004, 130(1): 33–48

    Google Scholar 

  6. Caicedo J M, Dyke S J, Johnson E A. Natural excitation technique and eigensystem realization algorithm for phase iof the IASC-ASCE benchmark problem: Simulated data. J Eng Mech, 2004, 130(1): 49–60

    Article  Google Scholar 

  7. Hera A, Hou Z K. Application of wavelet approach for ASCE structural health monitoring benchmark studies. J Eng Mech, 2004, 130(1): 96–104

    Article  Google Scholar 

  8. Barroso L R, Rodriguez R. Damage detection utilizing the damage index method to a benchmark structure. J Eng Mech, 2004, 130(2): 142–151

    Article  Google Scholar 

  9. Ewins D J. Modal Testing: Theory, Practice and Application. 2nd ed. Beijing: Research Studies Press, 2000

    Google Scholar 

  10. Li H J, Zhang M, Hu S-L J. Refinement of reduced-models for dynamic systems. Prog Nat Sci, 2008, 18(8): 993–997

    Article  Google Scholar 

  11. Hu S-L J, Li H J, Wang S Q. Cross-model cross-mode method for model updating. Mech Syst Signal Process, 2007, 21(4): 1690–1703

    Article  Google Scholar 

  12. Hu S-L J, Li H J. Simultaneous mass, damping and stiffness updating for dynamic systems. AIAA J, 2007, 45(10): 2529–2537

    Article  Google Scholar 

  13. Dyke S J, Bernal D, Beck J L, et al. An experimental benchmark problem in structural health monitoring. In: Processing 3rd International Workshop on Structural Health Monitoring. Boca Raton: CRC Press, 2001. 488–497

    Google Scholar 

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Authors and Affiliations

  1. Department of Ocean Engineering, Ocean University of China, Qingdao, 266100, China

    HuaJun Li, Min Zhang & JunRong Wang

  2. Department of Ocean Engineering, University of Rhode Island, Narragansett, RI, 02882-1197, USA

    Sau-Lon James Hu

Authors
  1. HuaJun Li
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  2. Min Zhang
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  3. JunRong Wang
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  4. Sau-Lon James Hu
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Corresponding author

Correspondence to HuaJun Li.

Additional information

Supported by the National Hi-Tech Research and Development Program of China (“863” Project) (Grant No. 2006AA09Z331) and the National Science Fund for Distinguished Young Scholars (Grant No. 50325927)

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Li, H., Zhang, M., Wang, J. et al. Fundamental modeling issues on benchmark structure for structural health monitoring. Sci. China Ser. E-Technol. Sci. 52, 1999–2008 (2009). https://doi.org/10.1007/s11431-009-0115-3

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  • DOI: https://doi.org/10.1007/s11431-009-0115-3

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