Material identification of soft tissue using membrane inflation

Wineman, Alan S.; Wilson, Douglas L.; Melvin, John W.

doi:10.1016/0021-9290(79)90169-6

Cited by 52 publications

(26 citation statements)

References 10 publications

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“…19 Inflation methods have been used extensively for characterization of synthetic and biological materials. [21][22][23][24][25] In many ways, inflation methods are ideally suited for multiaxial failure testing. The natural shape of the material can be maintained so sample handling and cutting are minimized.…”

Section: Introductionmentioning

confidence: 99%

Biaxial failure properties of planar living tissue equivalents

Billiar

Throm

Frey

2005

J Biomedical Materials Res

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Quantification of the mechanical properties of living tissue equivalents (LTEs) is essential for assessing their ultimate functionality as tissue substitutes, yet their delicate nature makes failure testing problematic. For this study, we evaluated the validity of using an inflation device for quantifying the biaxial tensile failure properties of extremely delicate fibroblast-populated collagen gels (CGs) and fibrin gels (FGs). Small samples were circularly clamped and then inflated until rupture. Each sample assumed an approximately spherical shape and burst at its center indicating effective clamping. After two weeks in culture, all LTEs tested were fragile, but the FGs were significantly stronger and more extensible than the CGs (ultimate tensile strength 6.0 kPa +/- 2.0 kPa vs. 2.8 kPa +/- 0.7 kPa; failure strain 3.5 +/- 0.9 vs. 0.26 +/- 0.05, n = 4). After an additional 11 days of culture, the strength of the FGs increased significantly (26.5 kPa +/- 12.7 kPa), and the extensibility decreased (1.9 +/- 0.8, n = 3). This study demonstrates that subtle differences in the properties of LTEs can be measured using inflation methods with minimal sample handling and without having to grow the tissues into anchors or cut the specimens.

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Section: Introductionmentioning

confidence: 99%

Biaxial failure properties of planar living tissue equivalents

Billiar

Throm

Frey

2005

J Biomedical Materials Res

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“…30,[31][32]33,34,35,36,37,38,39,40,41 In general, these "inverse methods" assume a constitutive equation for the material, and estimate the material coefficients by simulating experimental force-deformation data with a computer model (review 41 ).…”

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confidence: 99%

Nonlinear elastic material property estimation of lower extremity residual limb tissues

Tönük

Silverthorn

2003

IEEE Trans. Neural Syst. Rehabil. Eng.

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The interface stresses between the residual limb and prosthetic socket have been studied to investigate prosthetic fit. Finite-element models of the residual limb-prosthetic socket interface facilitate investigation of the mechanical interface and may serve as a potential tool for future prosthetic socket design. However, the success of such residual limb models to date has been limited, in large part due to inadequate material formulations used to approximate the mechanical behavior of residual limb soft tissues. Nonlinear finite-element analysis was used to simulate force-displacement data obtained during in vivo rate-controlled (1, 5, and 10 mm/s) cyclic indentation of the residual limb soft tissues of seven individuals with transtibial amputation. The finite-element models facilitated determination of an appropriate set of nonlinear elastic material coefficients for bulk soft tissue at discrete clinically relevant test locations. Axisymmetric finite-element models of the residual limb bulk soft tissue in the vicinity of the test location, the socket wall and the indentor tip were developed incorporating contact analysis, large displacement, and large strain, and the James-Green-Simpson nonlinear elastic material formulation. Model dimensions were based on medical imaging studies of the residual limbs. The material coefficients were selected such that the normalized sum of square error (NSSE) between the experimental and finite-element model indentor tip reaction force was minimized. A total of 95% of the experimental data were simulated using the James-Green-Simpson material formulation with an NSSE NOT THE PUBLISHED VERSION; this is the author's final, peer-reviewed manuscript. The published version may be accessed by following the link in the citation at the bottom of the page. Engineering, Vol 11, No. 1 (March 2003): 43-53. DOI. This article is © Institute of Electrical and Electronics Engineers (IEEE) and permission has been granted for this version to appear in e-Publications@Marquette. Institute of Electrical and Electronics Engineers (IEEE) does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Institute of Electrical and Electronics Engineers (IEEE). IEEE Transactions on Neural Systems and Rehabilitation2 less than 5%. The respective James-Green-Simpson material coefficients varied with subject, test location, and indentation rate. Therefore, these coefficients cannot be readily extrapolated to other sites or individuals, or to the same site and individual some time after testing. NomenclatureNonlinear elastic material coefficients; subscript indicates the order in strain invariant.Nonlinear elastic material coefficients in James-Green-Simpson material model; = order in first strain invariant 1 ; = order in second strain invariant 2 .Components of Green-Lagrange finite strain tensor.

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“…His theory of large elastic deformation (Mooney, 1940) matches experimental tension data of soft rubber from compression to large stretching (50%-400% of original length). Pursed flat circular disks with clamped edge were therefore used to determine the strain energy density function of soft tissue (Wineman et al, 1979).…”

Section: Introductionmentioning

confidence: 99%

Pursing of planar elastic pockets

Bouremel

Madaan

Lee

et al. 2017

Journal of Fluids and Structures

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The pursing of a simply-or doubly-connected planar elastic pocket by an applied pressure is analysed from the bending to the stretching regimes. The response is evaluated in terms of maximum deflection and profiles across a range of simply-and doubly-connected circular and square shapes. The study is conducted using experimental and numerical methods and supported by previous analytical results. The experimental method is based on an original 2D optical method that gives access to the pursing direction perpendicular to each image across the field of view. The equations for maximum pursing deflections are developed and compared for a range of thicknesses of silicone samples and shapes from the bending to the stretching regimes. In the case of doubly-connected shapes, dependence of maximum pursing deflection on clamped central circular and square areas or holes is quantified for both regimes. Good agreement is established between the three methods and the study also shows that the optical method may as well be successfully applied to problems of pursing of rubber pockets.

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Material identification of soft tissue using membrane inflation

Cited by 52 publications

References 10 publications

Biaxial failure properties of planar living tissue equivalents

Biaxial failure properties of planar living tissue equivalents

Nonlinear elastic material property estimation of lower extremity residual limb tissues

Pursing of planar elastic pockets

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