Simple empirical model for identifying rheological properties of soft biological tissues

Yo Kobayashi, Mariko Tsukune, Tomoyuki Miyashita, Masakatsu G. Fujie

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    Understanding the rheological properties of soft biological tissue is a key issue for mechanical systems used in the health care field. We propose a simple empirical model using fractional dynamics and exponential nonlinearity (FDEN) to identify the rheological properties of soft biological tissue. The model is derived from detailed material measurements using samples isolated from porcine liver. We conducted dynamic viscoelastic and creep tests on liver samples using a plate-plate rheometer. The experimental results indicated that biological tissue has specific properties: (i) power law increase in the storage elastic modulus and the loss elastic modulus of the same slope; (ii) power law compliance (gain) decrease and constant phase delay in the frequency domain; (iii) power law dependence between time and strain relationships in the time domain; and (iv) linear dependence in the low strain range and exponential law dependence in the high strain range between stress-strain relationships. Our simple FDEN model uses only three dependent parameters and represents the specific properties of soft biological tissue.

    Original languageEnglish
    Article number022418
    JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
    Volume95
    Issue number2
    DOIs
    Publication statusPublished - 2017 Feb 28

    Fingerprint

    Biological Tissue
    Empirical Model
    Power Law
    Elastic Modulus
    liver
    Liver
    modulus of elasticity
    Fractional
    nonlinearity
    Nonlinearity
    stress-strain relationships
    creep tests
    Linear dependence
    rheometers
    Creep
    Compliance
    Mechanical Systems
    Range of data
    Healthcare
    health

    ASJC Scopus subject areas

    • Statistical and Nonlinear Physics
    • Statistics and Probability
    • Condensed Matter Physics

    Cite this

    Simple empirical model for identifying rheological properties of soft biological tissues. / Kobayashi, Yo; Tsukune, Mariko; Miyashita, Tomoyuki; Fujie, Masakatsu G.

    In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 95, No. 2, 022418, 28.02.2017.

    Research output: Contribution to journalArticle

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