Micromechanical models of helical superstructures in ligament and tendon fibers predict large Poisson's ratios.
Experimental measurements of the Poisson's ratio in tendon and ligament tissue greatly exceed the isotropic limit of 0.5. This is indicative of volume loss during tensile loading. The microstructural origin of the large Poisson's ratios is unknown. It was hypothesized that a helical organization of fibrils within a fiber would result in a large Poisson's ratio in ligaments and tendons, and that this helical organization would be compatible with the crimped nature of these tissues, thus modeling their classic nonlinear stress-strain behavior. Micromechanical finite element models were constructed to represent crimped fibers with a super-helical organization, composed of fibrils embedded within a matrix material. A homogenization procedure was performed to determine both the effective Poisson's ratio and the Poisson function. The results showed that helical fibril organization within a crimped fiber was capable of simultaneously predicting large Poisson's ratios and the nonlinear stress-strain behavior seen experimentally. Parametric studies revealed that the predicted Poisson's ratio was strongly dependent on the helical pitch, crimp angle and the material coefficients. The results indicated that, for physiologically relevant parameters, the models were capable of predicting the large Poisson's ratios seen experimentally. It was concluded that helical organization within a crimped fiber can produce both the characteristic nonlinear stress-strain behavior and large Poisson's ratios, while fiber crimp alone could only account for the nonlinear stress-strain behavior.
Reese
Shawn P
SP
Department of Bioengineering, and Scientific Computing and Imaging Institute, University of Utah, 72 Salt Lake City, UT 84112, USA.
Maas
Steve A
SA
Weiss
Jeffrey A
JA
D000818:Animals; D005109:Extracellular Matrix / Q000502:physiology* / Q000648:ultrastructure; D006801:Humans; D008022:Ligaments / Q000502:physiology* / Q000648:ultrastructure; D008954:Models, Biological; D013312:Stress, Physiological