Energy dissipation in quasi-linear viscoelastic tissues, cells, and extracellular matrix

Behzad Babaei, A. J. Velasquez-Mao, Kenneth M. Pryse, William B. McConnaughey, Elliot L. Elson, Guy M. Genin

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Characterizing how a tissue's constituents give rise to its viscoelasticity is important for uncovering how hidden timescales underlie multiscale biomechanics. These constituents are viscoelastic in nature, and their mechanics must typically be assessed from the uniaxial behavior of a tissue. Confounding the challenge is that tissue viscoelasticity is typically associated with nonlinear elastic responses. Here, we experimentally assessed how fibroblasts and extracellular matrix (ECM) within engineered tissue constructs give rise to the nonlinear viscoelastic responses of a tissue. We applied a constant strain rate, “triangular-wave” loading and interpreted responses using the Fung quasi-linear viscoelastic (QLV) material model. Although the Fung QLV model has several well-known weaknesses, it was well suited to the behaviors of the tissue constructs, cells, and ECM tested. Cells showed relatively high damping over certain loading frequency ranges. Analysis revealed that, even in cases where the Fung QLV model provided an excellent fit to data, the the time constant derived from the model was not in general a material parameter. Results have implications for design of protocols for the mechanical characterization of biological materials, and for the mechanobiology of cells within viscoelastic tissues.

Original languageEnglish
Pages (from-to)198-207
Number of pages10
JournalJournal of the Mechanical Behavior of Biomedical Materials
Volume84
DOIs
StatePublished - Aug 2018

Keywords

  • Energy dissipation
  • Engineered tissue constructs
  • Fung quasi-linear viscoelastic model
  • Strain rate dependence
  • Viscoelasticity

Fingerprint

Dive into the research topics of 'Energy dissipation in quasi-linear viscoelastic tissues, cells, and extracellular matrix'. Together they form a unique fingerprint.

Cite this