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A microstructural model of tendon failure.

James Gregory¹, Andrew L Hazel¹, Tom Shearer²

¹Department of Mathematics, University of Manchester, Manchester, UK.

Journal of the Mechanical Behavior of Biomedical Materials

|July 26, 2021

Summary

This summary is machine-generated.

This study introduces a new microstructural model for tendon mechanics, accurately capturing complex stress-strain behaviors beyond the elastic limit. The model uses physically interpretable parameters to better predict how tendon structure affects mechanical properties.

Keywords:

Failure Microstructural Multiscale Soft tissue mechanics Tendon

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Area of Science:

Biomechanics
Materials Science
Structural Biology

Background:

Tendon mechanical properties are crucial for movement and injury prevention.
Existing microstructural models often fail to capture complex tendon behaviors beyond the elastic limit.
A deeper understanding of collagen fibril mechanics is needed to explain macroscale tendon function.

Purpose of the Study:

To develop a novel microstructural model for tendon mechanics.
To accurately represent the non-linear stress-strain curve of tendons, including post-yield behavior.
To provide a model with physically interpretable parameters for predicting changes in tendon mechanics.

Main Methods:

Developed a collagen recruitment model incorporating elastic and plastic stress components.
Modeled fibril yield and rupture stretches using distribution functions instead of single values.
Analyzed the impact of distribution shape and overlap on macroscale stress-strain curves.

Main Results:

The model successfully reproduces experimentally observed features, including post-yield linear regions and step-like failure.
Reduced the average root mean squared error from 4.53MPa to 2.29MPa compared to an existing model.
Model parameters showed closer agreement with experimentally determined values.

Conclusions:

The developed model accurately captures complex tendon mechanical behaviors using only microstructural parameters.
This physically interpretable model can predict the effects of aging, disease, and injury on tendon mechanics.
The model offers improved accuracy and a stronger link between microscale structure and macroscale function.