• DocumentCode
    333564
  • Title

    A novel finite element method for analyzing viscoelastic dynamics in biological tissues

  • Author

    Kunbao, Cai ; Zejia, Jiang ; Shouchang, Zhou ; Ruifang, Yang ; Jihui, Yu

  • Author_Institution
    Dept. of Electr. Eng., Chongqing Univ., China
  • Volume
    6
  • fYear
    1998
  • fDate
    29 Oct-1 Nov 1998
  • Firstpage
    2842
  • Abstract
    A novel finite-element method for analyzing viscoelastic dynamics in biological tissues through using two important conclusions of linear viscoelastic models and applying electrical-network theory and filtering techniques is successfully derived. The complexity of viscoelastic materials can be either as simple as isotropic or more and more complex up to extremely anisotropic. The linear viscoelastic models describing mechanical behaviors of biological tissues can be an arbitrary combination of two-kind elements and three-type fundamental models. It is confirmed that a general, systematic, and highly precise finite-element fast analysis method, that is suitable for analyzing the dynamic responses of biological tissues and engineering materials with linear viscoelastic models, can be derived
  • Keywords
    biological tissues; biomechanics; dynamic response; finite element analysis; physiological models; viscoelasticity; 3D isoparametric algorithm; Laplace transform; Young´s modulus; biological tissues; computational complexity; dynamic response; electrical-network theory; filtering techniques; finite element method; generalized Voigt chain; hepatic tissue; linear viscoelastic models; material complexity; recursive solution; serial dashpot; similarity principle; three-type fundamental models; two-kind elements; viscoelastic dynamics; Anisotropic magnetoresistance; Biological materials; Biological system modeling; Biological tissues; Elasticity; Filtering theory; Finite element methods; Nonlinear filters; Systematics; Viscosity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
  • Conference_Location
    Hong Kong
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-5164-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.1998.746076
  • Filename
    746076