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http://dx.doi.org/10.12989/sss.2017.20.2.247

Experimental study of extracting artificial boundary condition frequencies for dynamic model updating  

Hou, Chuanchuan (Institute for Infrastructure and Environment, School of Engineering, the University of Edinburgh)
Mao, Lei (Department of Aeronautical and Automotive Engineering, Loughborough University)
Lu, Yong (Institute for Infrastructure and Environment, School of Engineering, the University of Edinburgh)
Publication Information
Smart Structures and Systems / v.20, no.2, 2017 , pp. 247-261 More about this Journal
Abstract
In the field of dynamic measurement and structural damage identification, it is generally known that modal frequencies may be measured with higher accuracy than mode shapes. However, the number of natural frequencies within a measurable range is limited. Accessing additional forms of modal frequencies is thus desirable. The present study is concerned about the extraction of artificial boundary condition (ABC) frequencies from modal testing. The ABC frequencies correspond to the natural frequencies of the structure with a perturbed boundary condition, but they can be extracted from processing the frequency response functions (FRF) measured in a specific configuration from the structure in its existing state without the need of actually altering the physical support condition. This paper presents a comprehensive experimental investigation into the measurability of the ABC frequencies from physical experiments. It covers the testing procedure through modal testing, the data processing and data analysis requirements, and the FRF matrix operations leading to the extraction of the ABC frequencies. Specific sources of measurement errors and their effects on the accuracy of the extracted ABC frequencies are scrutinised. The extracted ABC frequencies are subsequently applied in the damage identification in beams by means of finite element model updating. Results demonstrate that it is possible to extract the first few ABC frequencies from the modal testing for a variety of artificial boundary conditions incorporating one or two virtual pin supports, and the inclusion of ABC frequencies enables the identification of structural damages without the need to involve the mode shape information.
Keywords
damage identification; finite element model updating; modal testing; frequency response function; antiresonance; artificial boundary condition frequencies;
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  • Reference
1 Ashory, M.R. (1999), "High quality modal testing methods", PhD thesis, University of London.
2 Carden, E.P. and Fanning, P. (2004), "Vibration based condition monitoring: a review", Struct. Health Monit., 3(4), 355-77.   DOI
3 D'Ambrogio, W. and Fregolent, A. (2004), "Dynamic model updating using virtual antiresonances", J. Shock Vib., 11(3-4), 351-363.   DOI
4 D'Ambrogio, W. and Fregolent, A. (2003), "Results obtained by minimising natural frequency and antiresonance errors of a beam model", Mech. Syst. Signal Pr., 17(1), 29-37.   DOI
5 D'Ambrogio, W. and Fregolent, A. (2000), "The use of antiresonances for robust model updating", J. Sound Vib., 236(2), 227-243.   DOI
6 Dilena, M. and Morassi, A. (2010), "Reconstruction method for damage detection in beams based on natural frequency and antiresonant frequency measurements", J. Eng. Mech.- ASCE, 136(3), 329-344.   DOI
7 Dilena, M. and Morassi, A. (2009), "Structural health monitoring of rods based on natural frequency and antiresonant frequency measurements", Struct. Health Monit., 8(2), 149-73.   DOI
8 Dilena, M. and Morassi, A. (2004), "The use of antiresonances for crack detection in beams", J. Sound Vib., 276(1-2), 195-214.   DOI
9 Ewins, D.J. (1984), Modal testing: theory and practice. Research studies press, Letchworth.
10 Doebling, S.W., Farrar, C.R., Prime, M.B. and Shevitz, D.W. (1996), "Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review", Los Alamos National Lab., NM (United States).
11 Fan, W. and Qiao, P.Z. (2011), "Vibration-based damage identification methods: A review and comparative study", Struct. Health Monit., 10(1), 83-111.   DOI
12 Gordis, J.H. (1999), "Artificial boundary conditions for model updating and damage detection", Mech. Syst. Signal Pr., 13(3), 437-448.   DOI
13 Gordis, J.H. (1996), "Omitted coordinate systems and artificial constraints in spatially incomplete identification", Modal Anal. Int. J. Anal. Exp. Modal Anal., 11(1-2), 83-95.
14 He, J.M. and Fu, Z.F. (2001), Modal analysis. Butterworth-Heinemann, Oxford.
15 Jones, K. and Turcotte, J. (2002), "Finite element model updating using antiresonant frequencies", J. Sound Vib., 252(4), 717-727.   DOI
16 Lallement, G. and Cogan, S. (2008), "Reconciliation between measured and calculated dynamic behaviors: enlargement of the knowledge space", Proceedings of the 10th International Modal Analysis Conference, San Diego, CA (United States).
17 Li, S.M., Shelley, S. and Brown, D. (1995), "Perturbed boundary condition testing concepts", Proceedings of the 13th International Modal Analysis Conference, TN (United States).
18 Meruane, V. and Heylen, W. (2011), "Structural damage assessment with antiresonances versus mode shapes using parallel genetic algorithms", Struct. Control Health Monit., 18(8), 825-839.   DOI
19 Lu, Y. and Tu, Z..G. (2008), "Artificial boundary condition approach for structural identification: a laboratory perspective", Proceedings of the 26th International Modal Analysis Conference. Orlando, FL(United States).
20 Mao, L. and Lu, Y. (2016), "Selection of optimal artificial boundary condition (ABC) frequencies for structural damage identification", J. Sound Vib., 374, 245-259.   DOI
21 Meruane, V. and Mahu, J. (2014), "Real-time structural damage assessment using artificial neural networks and antiresonant frequencies", J. Shock Vib., Article ID 653279, 14p.
22 Meruane, V. (2013), "Model updating using antiresonant frequencies identified from transmissibility functions", J. Sound Vib., 332(4), 807-820.   DOI
23 Mottershead, J.E. and Friswell, M.I. (1993), "Model updating in structural dynamics - a survey", J. Sound Vib., 167(2), 347-75.   DOI
24 Mottershead, J.E. (1998), "On the zeros of structural frequency response functions and their sensitivities", Mech. Syst. Signal Pr., 12(5), 591-597.   DOI
25 Pandey, A.K., Biswas, M. and Samman, M.M. (1991), "Damage detection from changes in curvature mode shapes", J. Sound Vib., 145(2), 321-332.   DOI
26 Perera, R. and Torres, R. (2006), "Structural damage detection via modal data with genetic algorithms", J. Struct. Eng. - ASCE, 132(9), 1491-501.   DOI
27 Qiao, P.Z., Lu, K., Lestari, W. and Wang, J.L. (2007), "Curvature mode shape-based damage detection in composite laminated plates", Compos. Struct., 80(3), 409-28.   DOI
28 Richardson, M.H. and Formenti, D.L. (1982), "Parameter estimation from frequency response measurements using rational fraction polynomials", Proceedings of the 1st international modal analysis conference. Orlando, FL (United States).
29 Rade, D.A. and Lallement, G. (1998), "A strategy for the enrichment of experimental data as applied to an inverse eigensensitivity-based fe model updating method", Mech. Syst. Signal Pr., 12(2), 293-307.   DOI
30 Ratcliffe, C.P. (1997), "Damage detection using a modified laplacian operator on mode shape data", J. Sound Vib., 204(3), 505-517.   DOI
31 Shi, Z.Y. and Law, S.S. "Structural damage localization from modal strain energy change", J. Sound Vib., 218(5), 825-844.   DOI
32 Shi, Z.Y., Law, S.S. and Zhang, L.M. (2000), "Structural damage detection from modal strain energy change", J. Eng. Mech.-ASCE, 126(12), 1216-1223.   DOI
33 Sohn, H., Farrar, C.R., Hemez, F.M., et al. (2004), "A review of structural health monitoring literature: 1996-2001", Los Alamos National Laboratory, Los Alamos, NM.
34 Tu, Z.G. and Lu, Y. (2008), "FE model updating using artificial boundary conditions with genetic algorithms", Comput. Struct., 86(7-8), 714-727.   DOI