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A system identification approach to material characterisation a new method for visco-elastic characterisation using genetic algorithm

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Material behavior is described by constitutive models. These models rely on various physical laws to describe the relationship between same input and output variables. For example stress and strain relationship can be described by a matrix formulation. The elements of matrix are described by various coefficients associated with the material modeled. This is the traditional method and bas worked effectively especially for linear material behavior. Extending such an approach to more complex material behavior requires understanding of material at macro or molecular level. It would be probably impossible for scientist to describe material behavior for every material under every possible condition. Therefore it is necessary to look for alternative methods to describe material behavior. The paper addresses this issue, presents GA as a generic problem solving tool and demonstrate how it can be used as a material characterization tool.
Rocznik
Strony
264--275
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
autor
autor
autor
autor
  • School of Engineering Brunel University, Uxbridge, Middlesex, UB8 3PH, UK
Bibliografia
  • [1] Rayleigh, Lord, 1877, "Theory of Sound," (two volumes), Dover Publications, New York, reissued 1945, second edition.
  • [2] Pilkey, D. F., 1998, "Computation of a Damping Matrix for Finite Element Model Updating," Ph.D. Thesis, Virginia Polytechnic Institute and State University.
  • [3] Adhikari, S., 2000, "Damping Models for Structural Vibration," Ph.D. Thesis, Cambridge University .
  • [4] Hasselman, T.K, 1972, "A Method of Construction a Full Modal Damping Matrix from Experimental Measurements," AIAA Journal, Vol. 10, pp. 526-527.
  • [5] Alvin KF., Robertson A.N., Reich G.W., Park, KC., 2003, "Structural System Identification: from Reality to Models," Journal of Computers and Structures, 81 (2003), pp. 1149-1176.
  • [6] Adhikari, S., 2005, "Damping Modelling using Generalized Proportional Damping," Journal of Sound and Vibration.
  • [7] Maia N.M.M., Silva J.M.M., Ribeiro A.M.R., 1998, "On a General Model for Damping," Journal of Sound and Vibration, 218(5), pp. 749-767.
  • [8] Lee J.-H., Kim J., 2000, "Identification of Damping Matrices from Measured Frequency Response Functions," Journal of Sound and Vibration, 240(3), pp. 545-565.
  • [9] Lancaster, P., 1961, "Expression of Damping Matrices in Linear Vibration Problems," Journal of Aerospace Sciences, 28, pp.256.
  • [10] Minas C., Inman D.J., 1991, "Identification of a Non-Proportional Damping Matrix from Incomplete Modal Information, " Transaction of ASME, Journal of Vibration and Acoustics, IB, pp. 219-224.
  • [11] Lee H.G., Dobson 8.1., 1991, "The Direct Measurement of Structural Mass, Stiffness and Damping Properties, "Journal of Sound and Vibration, 145, pp. 61-81.
  • [12] Ewins D.J., 1984, "Modal Testing: Theory and Practice," Research Studies Press Ltd., England.
  • [13] Arici Y., Mosalam KM., 2003, "System Identification of Instrumented Bridge Systems,"Earthquake Engineering and Structural Dynamics, 32, pp. 999-1020.
  • [14] Iglesias A.M., 2000, "Investigating Various Modal Analysis Extraction Techniques to Estimate Damping Ratio," M.S. Thesis, Virginia Polytechnic Institute and State University.
  • [15] Yang J.N., Lei Y., Pan S., Huang N., 2003, "System Identification of Linear Structures Based on Hilbert-Huang Spectral Analysis. Part I: Normal Modes," Earthquake Engineering and Structural Dynamics, 32, pp. 1443-1467.
  • [16] Adhikari S., Woodhouse J., 2001, "Identification of Damping: Part l, Viscous Damping, " Journal of Sound and Vibration, 243(1), pp. 43-61.
  • [17] Ibrahim S.R., 1983, "Computation of Normal Modes from Identified Complex Modes, " AIAA Journal, 21(3), pp. 446-451.
  • [18] Caravani P., Watson M.L., 1977 "Thomson WT. Recursive Least-Squares Time Domain Identification of Structural Parameters," Journal of Applied Mechanics, AS ME 44, pp. 135--140.
  • [19] Holcomb T., Morary M., 1991, "Local Training for Radial Basis Function Networks: Towards Solving the Hidden Unit Problem, " Proc. Amer. Contra!. Conf., pp. 2331-2336.
  • [20] Lee S., Rhee M.K., 1991, "A Gaussian Potential Function Network with Hierarchically Self Organizing Learning. Neural Networks, 4, pp. 207-224.
  • [21] Obata T., Miyamori Y., 2006, "Identification of Human Walking Force Model Based on Dynamic Monitoring Data from Pedestrian Bridges," Journal of Computers and Structures, 84, pp. 541-548.
  • [22] Doyle J.F., 1994, "Genetic Algorithm for Determining the Location of Structural Impacts," Exp. Mech., 34, pp. 37-44.
  • [23] Au F.T.K., Jiang RJ., and Cheung Y.K, 2004, "Parameter Identification of Vehicle Moving on Continuous Bridges," Journal of Sound and Vibration, 269, pp. 91-111.
  • [24] Koza J.R., 1997, "Genetic Programming, "Encyclopedia of Computer Science and Technology,"
  • [25] Friswell M.I., Garvey S.D., Penny J.E.T., 1995, "Model Reduction using Dynamic and Iterated IRS Techniques," Journal of Sound and Vibration 186(2), pp. 311-323.
  • [26] Guyan RJ., 1965, "Reduction of Stiffness and Mass Matrices," Journal of AIAA, 3(2), pp. 380.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG5-0027-0032
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