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Time-dependent damage in predictions of fatigue behaviour of normal and healing ligaments

Ligaments are dense fibrous tissues that connect bones across a joint and are exposed daily to creep and fatigue loading. Ligaments are tensile load-bearing tissues; therefore, fatigue loading will have a component of time-dependent damage from the non-zero mean stress and cycle-dependent damage fro...

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Autores principales: Thornton, Gail M., Bailey, Soraya J., Schwab, Timothy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110238/
https://www.ncbi.nlm.nih.gov/pubmed/30174542
http://dx.doi.org/10.1007/s11043-015-9267-7
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author Thornton, Gail M.
Bailey, Soraya J.
Schwab, Timothy D.
author_facet Thornton, Gail M.
Bailey, Soraya J.
Schwab, Timothy D.
author_sort Thornton, Gail M.
collection PubMed
description Ligaments are dense fibrous tissues that connect bones across a joint and are exposed daily to creep and fatigue loading. Ligaments are tensile load-bearing tissues; therefore, fatigue loading will have a component of time-dependent damage from the non-zero mean stress and cycle-dependent damage from the oscillating stress. If time-dependent damage is not sufficient to completely predict the fatigue response, then cycle-dependent damage could be an important contributor. Using data from normal ligaments (current study and Thornton et al., Clin. Biomech. 22:932–940, 2007a) and healing ligaments (Thornton and Bailey, J. Biomech. Eng. 135:091004-1–091004-6, 2013), creep data was used to predict the fatigue response considering time-dependent damage. Relationships between creep lifetime and test stress or initial strain were modelled using exponential or power-law regression. In order to predict fatigue lifetimes, constant rates of damage were assumed and time-varying stresses were introduced into the expressions for time-dependent damage from creep. Then, the predictions of fatigue lifetime were compared with curvefits to the fatigue data where exponential or power-law regressions were used to determine the relationship between fatigue lifetime and test stress or initial strain. The fatigue prediction based on time-dependent damage alone greatly overestimated fatigue lifetime suggesting that time-dependent damage alone cannot account for all of the damage accumulated during fatigue and that cycle-dependent damage has an important role. At lower stress and strain, time-dependent damage was a greater relative contributor for normal ligaments than healing ligaments; however, cycle-dependent damage was a greater relative contributor with incremental increases in stress or strain for normal ligaments than healing ligaments.
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spelling pubmed-61102382018-08-31 Time-dependent damage in predictions of fatigue behaviour of normal and healing ligaments Thornton, Gail M. Bailey, Soraya J. Schwab, Timothy D. Mech Time Depend Mater Article Ligaments are dense fibrous tissues that connect bones across a joint and are exposed daily to creep and fatigue loading. Ligaments are tensile load-bearing tissues; therefore, fatigue loading will have a component of time-dependent damage from the non-zero mean stress and cycle-dependent damage from the oscillating stress. If time-dependent damage is not sufficient to completely predict the fatigue response, then cycle-dependent damage could be an important contributor. Using data from normal ligaments (current study and Thornton et al., Clin. Biomech. 22:932–940, 2007a) and healing ligaments (Thornton and Bailey, J. Biomech. Eng. 135:091004-1–091004-6, 2013), creep data was used to predict the fatigue response considering time-dependent damage. Relationships between creep lifetime and test stress or initial strain were modelled using exponential or power-law regression. In order to predict fatigue lifetimes, constant rates of damage were assumed and time-varying stresses were introduced into the expressions for time-dependent damage from creep. Then, the predictions of fatigue lifetime were compared with curvefits to the fatigue data where exponential or power-law regressions were used to determine the relationship between fatigue lifetime and test stress or initial strain. The fatigue prediction based on time-dependent damage alone greatly overestimated fatigue lifetime suggesting that time-dependent damage alone cannot account for all of the damage accumulated during fatigue and that cycle-dependent damage has an important role. At lower stress and strain, time-dependent damage was a greater relative contributor for normal ligaments than healing ligaments; however, cycle-dependent damage was a greater relative contributor with incremental increases in stress or strain for normal ligaments than healing ligaments. Springer Netherlands 2015-06-10 2015 /pmc/articles/PMC6110238/ /pubmed/30174542 http://dx.doi.org/10.1007/s11043-015-9267-7 Text en © The Author(s) 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Thornton, Gail M.
Bailey, Soraya J.
Schwab, Timothy D.
Time-dependent damage in predictions of fatigue behaviour of normal and healing ligaments
title Time-dependent damage in predictions of fatigue behaviour of normal and healing ligaments
title_full Time-dependent damage in predictions of fatigue behaviour of normal and healing ligaments
title_fullStr Time-dependent damage in predictions of fatigue behaviour of normal and healing ligaments
title_full_unstemmed Time-dependent damage in predictions of fatigue behaviour of normal and healing ligaments
title_short Time-dependent damage in predictions of fatigue behaviour of normal and healing ligaments
title_sort time-dependent damage in predictions of fatigue behaviour of normal and healing ligaments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110238/
https://www.ncbi.nlm.nih.gov/pubmed/30174542
http://dx.doi.org/10.1007/s11043-015-9267-7
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