Fractional Order Viscoelasticity of the Aortic Valve Cusp: An Alternative to Quasilinear ViscoelasticitySource: Journal of Biomechanical Engineering:;2005:;volume( 127 ):;issue: 004::page 700DOI: 10.1115/1.1933900Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Background: Quasilinear viscoelasticity (QLV) theory has been widely and successfully used to describe the time-dependent response of connective tissues. Difficulties remain, however, particularly in material parameter estimation and sensitivities. In this study, we introduce a new alternative: the fractional order viscoelasticity (FOV) theory, which uses a fractional order integral to describe the relaxation response. FOV implies a fractal-like tissue structure, reflecting the hierarchical arrangement of collagenous tissues. Method of Approach: A one-dimensional (1-D) FOV reduced relaxation function was developed, replacing the QLV “box-spectrum” function with a fractional relaxation function. A direct-fit, global optimization method was used to estimate material parameters from stress relaxation tests on aortic valve tissue. Results: We found that for the aortic heart valve, FOV had similar accuracy and better parameter sensitivity than QLV, particularly for the long time constant (τ2). The mean (n=5) fractional order was 0.29, indicating that the viscoelastic response of the tissue was strongly fractal-like. Results summary: mean QLV parameters were C=0.079, τ1=0.004, τ2=76, and mean FOV parameters were β=0.29, τ=0.076, and ρ=1.84. Conclusions: FOV can provide valuable new insights into tissue viscoelastic behavior. Determining the fractional order can provide a new and sensitive quantitative measure for tissue comparison.
keyword(s): Relaxation (Physics) , Stress , Viscoelasticity , Biological tissues , Constitutive equations , Valves , Parameter estimation , Errors , Spectra (Spectroscopy) , Fractals AND Optimization ,
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contributor author | Todd C. Doehring | |
contributor author | Alan D. Freed | |
contributor author | Evelyn O. Carew | |
contributor author | Ivan Vesely | |
date accessioned | 2017-05-09T00:15:21Z | |
date available | 2017-05-09T00:15:21Z | |
date copyright | August, 2005 | |
date issued | 2005 | |
identifier issn | 0148-0731 | |
identifier other | JBENDY-26519#700_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/131370 | |
description abstract | Background: Quasilinear viscoelasticity (QLV) theory has been widely and successfully used to describe the time-dependent response of connective tissues. Difficulties remain, however, particularly in material parameter estimation and sensitivities. In this study, we introduce a new alternative: the fractional order viscoelasticity (FOV) theory, which uses a fractional order integral to describe the relaxation response. FOV implies a fractal-like tissue structure, reflecting the hierarchical arrangement of collagenous tissues. Method of Approach: A one-dimensional (1-D) FOV reduced relaxation function was developed, replacing the QLV “box-spectrum” function with a fractional relaxation function. A direct-fit, global optimization method was used to estimate material parameters from stress relaxation tests on aortic valve tissue. Results: We found that for the aortic heart valve, FOV had similar accuracy and better parameter sensitivity than QLV, particularly for the long time constant (τ2). The mean (n=5) fractional order was 0.29, indicating that the viscoelastic response of the tissue was strongly fractal-like. Results summary: mean QLV parameters were C=0.079, τ1=0.004, τ2=76, and mean FOV parameters were β=0.29, τ=0.076, and ρ=1.84. Conclusions: FOV can provide valuable new insights into tissue viscoelastic behavior. Determining the fractional order can provide a new and sensitive quantitative measure for tissue comparison. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Fractional Order Viscoelasticity of the Aortic Valve Cusp: An Alternative to Quasilinear Viscoelasticity | |
type | Journal Paper | |
journal volume | 127 | |
journal issue | 4 | |
journal title | Journal of Biomechanical Engineering | |
identifier doi | 10.1115/1.1933900 | |
journal fristpage | 700 | |
journal lastpage | 708 | |
identifier eissn | 1528-8951 | |
keywords | Relaxation (Physics) | |
keywords | Stress | |
keywords | Viscoelasticity | |
keywords | Biological tissues | |
keywords | Constitutive equations | |
keywords | Valves | |
keywords | Parameter estimation | |
keywords | Errors | |
keywords | Spectra (Spectroscopy) | |
keywords | Fractals AND Optimization | |
tree | Journal of Biomechanical Engineering:;2005:;volume( 127 ):;issue: 004 | |
contenttype | Fulltext |