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Using P-Box and PiFE to Express Uncertainty in Model Updating

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Topics in Model Validation and Uncertainty Quantification, Volume 5

Abstract

This paper proposes the use of probability bounds with the Pseudo-inverse Finite Element (PiFE) method for structural model updating. The technique estimates the probability bound of structural parameters based on dynamic or static features such as modal parameters or static displacements. Two methods are explored for the calculation of the probability bounds: (i) Naïve method and (ii) all possible combinations. The capabilities of the technique are explored using a two degree of freedom structural system where the stiffness is considered uncertain. Results indicate that both the Naïve and all possible combination techniques are applicable with PiFE and produce bounds that include the cumulative distribution function of the structural parameters. The probability bounds found with the all possible combinations method was narrower for this particular example.

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References

  1. Ewins DJ (2007) Modal analysis and modal testing. In: Crocker MJ (ed) Handbook of noise and vibration control. John Wiley & son, Hoboken, NJ, USA, pp. 565–574, doi:10.1002/9780470209707.ch47

    Chapter  Google Scholar 

  2. Sirca GF Jr, Adeli H (2012) System identification in structural engineering. Scientia Iranica. 19(6), pp. 1355–1364, http://www.sciencedirect.com/science/article/pii/S1026309812001940

  3. Franco G, Betti R, Lu H (2004) Identification of structural systems using an evolutionary strategy. J Eng Mech 130(10):1125–1139

    Article  Google Scholar 

  4. Caicedo J (2011) Practical guidelines for the Natural Excitation Technique (NExT) and the Eigensystem Realization Algorithm (ERA) for modal identification using ambient vibration. Exp Tech 35(4):52–58

    Article  MathSciNet  Google Scholar 

  5. James GH et al (1992) Modal testing using natural excitation. In: 10th international modal analysis conference, San Diego

    Google Scholar 

  6. Caicedo JM, Dyke SJ, Johnson EA (2003) Natural excitation technique and eigensystem realization algorithm for phase I of the IASC-ASCE benchmark problem: simulated data. J Eng Mech 130(1):49–60

    Article  Google Scholar 

  7. Alvin KF et al (2003) Structural system identification: from reality to models. Comput Struct 81(12):1149–1176

    Article  Google Scholar 

  8. Yuen K-V (2012) Updating large models for mechanical systems using incomplete modal measurement. Mech Syst Signal Process 28(0):297–308

    Article  MathSciNet  Google Scholar 

  9. Kenigsbuch R, Halevi Y (1998) Model updating in structural dynamics: a generalised reference basis approach. Mech Syst Signal Process 12(1):75–90

    Article  Google Scholar 

  10. Jaishi B, Ren W-X (2007) Finite element model updating based on eigenvalue and strain energy residuals using multiobjective optimisation technique. Mech Syst Signal Process 21(5):2295–2317

    Article  Google Scholar 

  11. Arora V, Singh SP, Kundra TK (2010) Further experience with model updating incorporating damping matrices. Mech Syst Signal Process 24(5):1383–1390

    Article  Google Scholar 

  12. Lin RM, Lim MK, Ong JH (1993) Improving finite element models in the higher frequency range using modified frequency response function sensitivity method. Finite Elem Anal Des 15(2):157–175

    Article  MATH  Google Scholar 

  13. Moaveni B et al (2012) Finite element model updating for assessment of progressive damage in a three-story infilled RC frame. J Struct Eng 442

    Google Scholar 

  14. Nasrellah HA, Manohar CS (2011) Finite element method based Monte Carlo filters for structural system identification. Probab Eng Mech 26(2):294–307

    Article  Google Scholar 

  15. Moaveni B, Conte JP, Hemez FM (2009) Uncertainty and sensitivity analysis of damage identification results obtained using finite element model updating. Comput Aided Civ Infrastruct Eng 24(5):320–334

    Article  Google Scholar 

  16. Beck JL, Katafygiotis LS (1998) Updating models and their uncertainties. I: Bayesian statistical framework. J Eng Mech 124(4):455–461

    Google Scholar 

  17. Katafygiotis LS, Beck JL (1998) Updating models and their uncertainties. II: model identifiability. J Eng Mech 124(4):463–467

    Google Scholar 

  18. Zhang H (2012) Interval importance sampling method for finite element-based structural reliability assessment under parameter uncertainties. Struct Saf 38(0):1–10

    Article  MATH  Google Scholar 

  19. Konijn HS (1987) Distribution-free and other prediction intervals. Am Stat 41(1):11–15

    MathSciNet  MATH  Google Scholar 

  20. Sellke T (1996) Generalized gauss-chebyshev inequalities for unimodal distributions. Metrika 43(1):107–121

    Article  MathSciNet  MATH  Google Scholar 

  21. Zhang H, Mullen RL, Muhanna RL (2010) Interval Monte Carlo methods for structural reliability. Struct Saf 32(3):183–190

    Article  Google Scholar 

  22. Zárate BA, Caicedo JM (2008) Finite element model updating: multiple alternatives. Eng Struct 30(12):3724–3730

    Article  Google Scholar 

  23. Li P, Hu SLJ, Li HJ (2011) Noise issues of modal identification using eigensystem realization algorithm. Procedia Eng 14(0):1681–1689

    Article  Google Scholar 

  24. Siringoringo DM, Fujino Y (2008), System identification of suspension bridge from ambient vibration response. Eng Struct 30(2):462–477

    Article  Google Scholar 

  25. Madarshahian R et al (2012) Direct inverse finite element model updating. In: 2012 joint conference of the engineering mechanics institute and the 11th ASCE joint specialty conference on probabilistic mechanics and structural reliability, Notre Dame

    Google Scholar 

  26. Caicedo JM (2003) Structural health monitoring of flexible civil structures. In: Civil engineering. Washington University in Saint Louis, Saint Louis, p 160

    Google Scholar 

  27. Caicedo JM, Dyke SJ (2002) Determination of member stiffnesses for structural health monitoring. In: 3rd world conference in structural control, Como

    Google Scholar 

  28. Chopra AK (2012) Dynamics of structures: theory and applications to earthquake engineering, 4th edn. Prentice Hall, Upper Saddle River, p 944. xxxiii

    Google Scholar 

  29. Chen S-H, Yang X-W (2000) Interval finite element method for beam structures. Finite Elem Anal Des 34(1):75–88

    Article  MATH  Google Scholar 

  30. Muhanna R, Zhang H, Mullen R (2007) Interval finite elements as a basis for generalized models of uncertainty in engineering mechanics. Reliab Comput 13(2):173–194

    Article  MathSciNet  MATH  Google Scholar 

  31. Zhang H, Muhanna RL (2009) Interval approach for nondeterministic linear static finite element method in continuum mechanics problems. Int J Reliab Saf 3(1):201–217

    Article  Google Scholar 

  32. Hess PE et al (2002) Uncertainties in material and geometric strength and load variables. Nav Eng J 114(2):139–166

    Article  Google Scholar 

  33. Pukelsheim F (1994) The three sigma rule. Am Stat 48(2):88–91

    MathSciNet  Google Scholar 

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Acknowledgements

This material is based upon work supported by the National Science Foundation under Grant No.CMMI-0846258.

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Correspondence to Ramin Madarshahian .

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Madarshahian, R., Caicedo, J.M., Zárate, B.A. (2013). Using P-Box and PiFE to Express Uncertainty in Model Updating. In: Simmermacher, T., Cogan, S., Moaveni, B., Papadimitriou, C. (eds) Topics in Model Validation and Uncertainty Quantification, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6564-5_9

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  • DOI: https://doi.org/10.1007/978-1-4614-6564-5_9

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  • Publisher Name: Springer, New York, NY

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