2018
DOI: 10.1016/j.jmbbm.2017.08.031
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Constitutive modeling of the passive inflation-extension behavior of the swine colon

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Cited by 26 publications
(19 citation statements)
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“…Geometrical and material properties of swine descending colon tissues were used for the models. In our previous study of swine tissue behavior, we established the first anisotropic material constitutive model for the descending swine colon based on simultaneous inflation and extension tests 15 . This material constitutive model was used in the simulations.…”
Section: Resultsmentioning
confidence: 99%
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“…Geometrical and material properties of swine descending colon tissues were used for the models. In our previous study of swine tissue behavior, we established the first anisotropic material constitutive model for the descending swine colon based on simultaneous inflation and extension tests 15 . This material constitutive model was used in the simulations.…”
Section: Resultsmentioning
confidence: 99%
“…All simulations were performed on a Dell Workstation T7810 with two Intel Xeon processors and 32 GBytes of memory. In our previous study of swine tissue behavior, we established an anisotropic material constitutive model for the descending and spiral regions of the swine colon based on simultaneous inflation and extension tests 15 . This model has been shown in several previous studies to capture adequately the anisotropic behavior of the colon 19,[34][35][36] .…”
Section: Discussionmentioning
confidence: 99%
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“…The present study created artificial dissections in porcine aortas, conducted planar biaxial testing on tissue segments from different regions and then used a novel non-linear regression modeling interface to fit the five parameter HGO model for hyperelastic materials against measured data. The constitutive modeling for soft tissues has been widely utilized to understand its mechanical response and perform computational modeling for developing virtual therapies for treating diseases (Raghavan and Vorp, 2000 ; Holzapfel et al, 2004 ; Speelman et al, 2009 ; Patel et al, 2018 ). The algorithm introduced in this study utilized data from various protocols (i.e., 1:1, 1:1.5, 1:2, 1.5:1, 2:1) to develop an enriched HGO constitutive model relation that was trained on larger data set for achieving higher stress-stretch predictive capabilities (Table 1 ).…”
Section: Discussionmentioning
confidence: 99%