Robust identification of the mechanical properties of viscoelastic non-standard materials by means of frequency domain experimental measurements

被引:13
|
作者
Amadori, Stefano [1 ]
Catania, Giuseppe [1 ]
机构
[1] Univ Bologna, Ciri Mam, Dept Ind Engn, DIN, Viale Risorgimento 2, I-40136 Bologna, BO, Italy
关键词
Material identification; Frequency domain measurement; Optimal model fitting;
D O I
10.1016/j.compstruct.2016.11.029
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
This work presents an identification procedure for the constitutive model of viscoelastic non-standard materials, such as Functionally Graded Materials (FGM). A generalized Kelvin model of arbitrary order is selected, making it possible to define the material constitutive relationship by means of the ratio of polynomials in the frequency domain. Since ill-conditioning may occur at the numerical identification stage of high order model parameters, a novel approach to identify the model optimal order and parameters, mainly employing a orthogonal polynomial basis, is proposed in this paper. Least square error fitting techniques employing a classic monomial and a Forsythe orthogonal polynomial basis are compared by starting from numerically estimated measurements with noise. The selected approach is used to fit dynamical measurement data obtained from real test specimens in a wide excitation frequency range. The optimal model results obtained by fitting real experimental data are presented and discussed. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:79 / 89
页数:11
相关论文
共 50 条
  • [41] Robust Multiscale Identification of Apparent Elastic Properties at Mesoscale for Random Heterogeneous Materials with Multiscale Field Measurements
    Zhang, Tianyu
    Pled, Florent
    Desceliers, Christophe
    MATERIALS, 2020, 13 (12) : 1 - 41
  • [42] A novel general modeling of the viscoelastic properties of fluids: Application to mechanical relaxation and low frequency oscillation measurements of liquid water
    Aitken, F.
    Volino, F.
    PHYSICS OF FLUIDS, 2022, 34 (04)
  • [43] PROPOSITION OF CURVE FITTING IN THE FREQUENCY-DOMAIN AND MCK IDENTIFICATION USING CURVE FITTING - EXPERIMENTAL IDENTIFICATION OF MECHANICAL STRUCTURE WITH CHARACTERISTIC MATRICES
    JEONG, WB
    OKUMA, M
    NAGAMATSU, A
    JSME INTERNATIONAL JOURNAL SERIES III-VIBRATION CONTROL ENGINEERING ENGINEERING FOR INDUSTRY, 1989, 32 (01): : 30 - 35
  • [44] Experimental Identification of Thermophysical Properties in Heterogeneous Materials with Integral Transformation of Temperature Measurements from Infrared Thermography
    Knupp, Diego C.
    Naveira-Cotta, Carolina P.
    Orlande, Helcio R. B.
    Cotta, Renato M.
    EXPERIMENTAL HEAT TRANSFER, 2013, 26 (01) : 1 - 25
  • [45] Identification of the viscoelastic properties of soft materials at low frequency: Performance, ill-conditioning and extrapolation capabilities of fractional and exponential models
    Ciambella, J.
    Paolone, A.
    Vidoli, S.
    JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS, 2014, 37 : 286 - 298
  • [46] A robust poly-reference frequency-domain identification method to extract dynamic properties from vibration data
    Sandro Diord Rescinho Amador
    Rune Brincker
    Communications Engineering, 2 (1):
  • [47] Identification of Materials Mechanical Properties from Full-Field Measurements: Latest Advances in the Virtual Fields Method
    Pierron, F.
    ADVANCES IN EXPERIMENTAL MECHANICS VI, 2008, 13-14 : 3 - 9
  • [48] Non-invasive measurements of breast tissue optical properties using frequency-domain photon migration
    Tromberg, BJ
    Coquoz, O
    Fishkin, J
    Pham, T
    Anderson, ER
    Butler, J
    Cahn, M
    Gross, JD
    Venugopalan, V
    Pham, D
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 1997, 352 (1354) : 661 - 668
  • [49] Numerical Simulation and Experimental Research for Thermal Conductivity Measurements of Bulk Materials Based on A Frequency-Domain Hot-Strip Sensor
    Xiaojing Li
    Shuaikang Lu
    Pengpeng Yan
    Yajun Ren
    Jiangjiang Wang
    International Journal of Thermophysics, 2022, 43
  • [50] Numerical Simulation and Experimental Research for Thermal Conductivity Measurements of Bulk Materials Based on A Frequency-Domain Hot-Strip Sensor
    Li, Xiaojing
    Lu, Shuaikang
    Yan, Pengpeng
    Ren, Yajun
    Wang, Jiangjiang
    INTERNATIONAL JOURNAL OF THERMOPHYSICS, 2022, 43 (04)