4.6 Article

Discrete quasi-linear viscoelastic damping analysis of connective tissues, and the biomechanics of stretching

Journal

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jmbbm.2016.12.013

Keywords

Relaxation spectrum; Storage and loss modulus; Stress relaxation; Ligament; Quasi-linear viscoelasticity; Discrete quasi-linear viscoelastic model

Funding

  1. National Institutes of Health [U01EB016422, R01HL109505]
  2. National Science Foundation [CBET 1511504, CMMI 1548571]
  3. Directorate For Engineering
  4. Div Of Chem, Bioeng, Env, & Transp Sys [1511504] Funding Source: National Science Foundation
  5. Directorate For Engineering
  6. Div Of Civil, Mechanical, & Manufact Inn [1548571] Funding Source: National Science Foundation

Ask authors/readers for more resources

The time- and frequency-dependent properties of connective tissue define their physiological function, but are notoriously difficult to characterize. Well-established tools such as linear viscoelasticity and the Fung quasi linear viscoelastic (QLV) model impose forms on responses that can mask true tissue behavior. Here, we applied a more general discrete quasi-linear viscoelastic (DQLV) model to identify the static and dynamic time- and frequency-dependent behavior of rabbit medial collateral ligaments. Unlike the Fung QLV approach, the DQLV approach revealed that energy dissipation is elevated at a loading period of similar to 10 s. The fitting algorithm was applied to the entire loading history on each specimen, enabling accurate estimation of the material's viscoelastic relaxation spectrum from data gathered from transient rather than only steady states. The application of the DQLV method to cyclically loading regimens has broad applicability for the characterization of biological tissues, and the results suggest a mechanistic basis for the stretching regimens most favored by athletic trainers.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available