A closed form solution for the uniaxial tension test of biological soft tissues

Peyraut, François; Feng, Zhi-Qiang; Labed, Nadia; Renaud, Christine

doi:10.1016/j.ijnonlinmec.2010.02.003

Cited by 10 publications

(4 citation statements)

References 12 publications

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“…Even if these specimens are ready, it is difficult to carry out the biaxial tensile test on these specimens [23,33]. For these reason, the uniaxial test was carried out by many researchers such as Holzapfel [33], Peyraut et al [34], Skacel and Bursa [35], Hajhashemkhani and Hematiyan [36], Karimi et al [37], Shazly et al [38], and Latorre et al [39]. In their research, the material parameters of the HGO model such as C 10 , k 1 , and k 2 were identified using the uniaxial test for each layer or unified layers of soft biological tissue including aorta wall tissue.…”

Section: Discussionmentioning

confidence: 99%

Determination of the Material Parameters in the Holzapfel-Gasser-Ogden Constitutive Model for Simulation of Age-Dependent Material Nonlinear Behavior for Aortic Wall Tissue under Uniaxial Tension

et al. 2019

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In this study, computational simulations and experiments were performed to investigate the mechanical behavior of the aorta wall because of the increasing occurrences of aorta-related diseases. The study focused on the deformation and strength of porcine and healthy human abdominal aortic tissues under uniaxial tensile loading. The experiments for the mechanical behavior of the arterial tissue were conducted using a uniaxial tensile test apparatus to validate the simulation results. In addition, the strength and stretching of the tissues in the abdominal aorta of a healthy human as a function of age were investigated based on the uniaxial tensile tests. Moreover, computational simulations using the ABAQUS finite element analysis program were conducted on the experimental scenarios based on age, and the Holzapfel-Gasser-Ogden (HGO) model was applied during the simulation. The material parameters and formulae to be used in the HGO model were proposed to identify the failure stress and stretch correlation with age.abdominal aorta specimens were investigated and analyzed based on age, and the material constants associated with the elastic modulus, stress, and strain in the numerical model were estimated from the numerical simulations according to age. From these results, the correlation between age and material constants was examined, and the formulae for estimating material constants based on age were proposed.

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Section: Discussionmentioning

confidence: 99%

Determination of the Material Parameters in the Holzapfel-Gasser-Ogden Constitutive Model for Simulation of Age-Dependent Material Nonlinear Behavior for Aortic Wall Tissue under Uniaxial Tension

et al. 2019

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“…Rubber and some biological soft tissue materials are said to be hyperelastic [23][24][25]. Usually, these kind of materials undergo large deformations.…”

Section: Potential Energymentioning

confidence: 99%

Fast computation of soft tissue deformations in real-time simulation with Hyper-Elastic Mass Links

Goulette

Chen

2015

Computer Methods in Applied Mechanics and Engineering

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International audienceVirtual surgery simulators show a lot of advantages in the world of surgery training, where they allow to improve the quality of surgeons' gesture. One of the current major technical difficulties for the development of surgery simulation is the possibility to perform a real-time computation of soft tissue deformation by considering the accurate modeling of their mechanical properties. However today, few models are available, they are still time consuming and limited in number of elements by algorithm complexity. We present in this paper a new method and framework that we call 'HEML' (Hyper-Elastic Mass Links), which is particularly fast. It is derived from the finite element method, can handle visco-hyperelastic and large deformation modeling. Although developed initially for medical applications, the HEML method can be used for any numerical computation of hyperelastic material deformations based on a tetrahedral mesh. A comparison with existing methods shows a much faster speed. A comparison with Mass-Spring methods, that are particularly fast but not realistic, shows that they can be considered as a degenerate case of the HEML framework

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“…41,42,43 Many attempts have been made to develop a theoretical stress-strain relation that fits experimental and numerical results for hyperelastic materials. 44,45,46,47 …”

Section: State Of the Artmentioning

confidence: 99%

Geometric modeling of pelvic organs with thickness

et al. 2012

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International audiencePhysiological changes in the spatial configuration of the internal organs in the abdomen can induce different disorders that need surgery. Following the complexity of the surgical procedure, mechanical simulations are necessary but the in vivo factor makes complicate the study of pelvic organs. In order to determine a realistic behavior of these organs, an accurate geometric model associated with a physical modeling is therefore required. Our approach is integrated in the partnership between a geometric and physical module. The Geometric Modeling seeks to build a continuous geometric model: from a dataset of 3D points provided by a Segmentation step, surfaces are created through a B-spline fitting process. An energy function is built to measure the bidirectional distance between surface and data. This energy is minimized with an alternate iterative Hoschek-like method. A thickness is added with an offset formulation, and the geometric model is finally exported in a hexahedral mesh. Afterward, the Physical Modeling tries to calculate the properties of the soft tissues to simulate the organs displacements. The physical parameters attached to the data are determined with a feedback loop between finite-elements deformations and ground-truth acquisition (dynamic MRI)

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A closed form solution for the uniaxial tension test of biological soft tissues

Cited by 10 publications

References 12 publications

Determination of the Material Parameters in the Holzapfel-Gasser-Ogden Constitutive Model for Simulation of Age-Dependent Material Nonlinear Behavior for Aortic Wall Tissue under Uniaxial Tension

Determination of the Material Parameters in the Holzapfel-Gasser-Ogden Constitutive Model for Simulation of Age-Dependent Material Nonlinear Behavior for Aortic Wall Tissue under Uniaxial Tension

Fast computation of soft tissue deformations in real-time simulation with Hyper-Elastic Mass Links

Geometric modeling of pelvic organs with thickness

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