Collagen and bone viscoelasticity: A dynamic mechanical analysis

Yamashita, Junro; Li, Xiaoe; Furman, Benjamin R.; Rawls, H. Ralph; Wang, Xiaodu; Agrawal, C. Mauli

doi:10.1002/jbm.10086

Cited by 116 publications

(79 citation statements)

References 35 publications

(43 reference statements)

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“…So staying with our bone example, if bone behaviour in physiological conditions is linear elastic, then, in the range of deformation rates that is physiologically possible, bones should exhibit no significant viscous dissipation, which can be verified with isothermal experiments [39].…”

Section: (A) Deductive Modelssupporting

confidence: 55%

A tentative taxonomy for predictive models in relation to their falsifiability

Viceconti

2011

Phil. Trans. R. Soc. A.

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The growing importance of predictive models in biomedical research raises some concerns on the correct methodological approach to the falsification of such models, as they are developed in interdisciplinary research contexts between physics, biology and medicine. In each of these research sectors, there are established methods to develop cause-effect explanations for observed phenomena, which can be used to predict: epidemiological models, biochemical models, biophysical models, Bayesian models, neural networks, etc. Each research sector has accepted processes to verify how correct these models are (falsification). But interdisciplinary research imposes a broader perspective, which encompasses all possible models in a general methodological framework of falsification. The present paper proposes a general definition of 'scientific model' that makes it possible to categorize predictive models into broad categories. For each of these categories, generic falsification strategies are proposed, except for the so-called 'abductive' models. For this category, which includes artificial neural networks, Bayesian models and integrative models, the definition of a generic falsification strategy requires further investigation by researchers and philosophers of science.

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Section: (A) Deductive Modelssupporting

confidence: 55%

A tentative taxonomy for predictive models in relation to their falsifiability

Viceconti

2011

Phil. Trans. R. Soc. A.

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“…It is accepted that the mineral phase is the main contributor to the elastic and strength and Agrawal, 1996). Also, dehydration affects the viscoelastic behaviour of cortical bone: for instance, it reduces the loss factor without appreciable changes in the storage modulus (Yamashita et al, 2002), and increases the relaxation rate (Sasaki and Enyo, 1995). Because in vivo bone fractures are often initiated and/or promoted by cracks, Fracture Mechanics emerges as an essential tool to assess bone tissue quality, in order to improve the diagnoses of fracture risks and the treatment of bone diseases (Wang and Puram, 2004).…”

Section: Introductionmentioning

confidence: 99%

The double cantilever beam test applied to mode I fracture characterization of cortical bone tissue

Morais

Moura

Pereira

et al. 2010

Journal of the Mechanical Behavior of Biomedical Materials

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Compliance Fracture toughness Modeling A B S T R A C TThe primary objective of this work was to analyse the adequacy of the Double Cantilever Beam (DCB) test in determining fracture toughness under pure mode I loading of cortical bone tissue. A new data reduction scheme based on specimen compliance and the crack equivalent concept was used to overcome the difficulties inherent in crack monitoring during its growth. It provides a complete resistance curve, which is fundamental in estimating the fracture energy. A cohesive zone model was used to simulate damage initiation and propagation, thus assessing the efficacy of the proposed testing method and data reduction scheme. Subsequently, the DCB test was applied to evaluate the mode I fracture energy of hydrated and thermally dehydrated cortical bone tissue from young bovine femur, in the tangential-longitudinal propagation system. The results obtained demonstrate the efficacy of the DCB test and the proposed data reduction scheme on the bone fracture characterization under mode I loading.

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“…The presence of collagen in compact bone definitely contributes to this behavior as it was shown that biological materials lose their viscoelastic characteristics with a decrease in collagen content [33]. In addition, a dynamic mechanical analysis experiment on compact bone revealed that water plays a significant role as well [31]. Another series of research articles came to the conclusion that fluid in the vascular channels of compact bone does not significantly contribute to viscoelasticity but the interaction between the fluid and calcified matrix does [34].…”

Section: Time Dependent Properties: Viscoelasticitymentioning

confidence: 99%

The Effects of Variation in Collagen D-Spacing on Compact Bone Viscoelasticity: A Finite Element Analysis

Mendoza¹

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The D-spacing that is characteristic of collagen and its structural arrangement was previously thought to be a constant value. Much research is revealing that it is actually a distribution of values in biological tissues. Recent ovine experimentation has also shown that the D-spacing distribution is significantly altered following estrogen depletion. While ewes contain some major biological differences between their human counterparts, they are an economical and robust large animal model for postmenopausal osteoporosis. So, the exploration of the possible implications that D-spacing has on the mechanical properties of the whole bone utilizing animal models and computational methods is warranted. Six Warhill ewes were used in this experiment and were either ovariectomized or underwent a sham surgery. The animals were sacrificed after 3 years and the radius and ulna bone were harvested for further analysis. Rectangular beams of compact bone tissue were machined from six different sectors in the whole bone and dynamic mechanical analysis tests were performed on the 24 specimens. The

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Collagen and bone viscoelasticity: A dynamic mechanical analysis

Cited by 116 publications

References 35 publications

A tentative taxonomy for predictive models in relation to their falsifiability

A tentative taxonomy for predictive models in relation to their falsifiability

The double cantilever beam test applied to mode I fracture characterization of cortical bone tissue

The Effects of Variation in Collagen D-Spacing on Compact Bone Viscoelasticity: A Finite Element Analysis

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