Develops and calibrates an anisotropic hyperelastic constitutive model based on octahedral fiber networks for mitral valve leaflets to examine effects of anisotropy and reorientation on closure and mitral regurgitation.
URL https://royalsocietypublishing.org/doi/10.1098/rsif
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An integrated 3D-DIC inflation protocol with membrane finite-element inverse modeling quantifies CXL-induced stiffening and ablation-induced compliance increase in porcine corneas by extracting anisotropic hyperelastic parameters from full-field strain data.
Finite element analysis shows skin anisotropy strongly affects auxetic mesh expansion, with lowest performance when Langer's lines align transversely and isotropic models overpredicting stress.
The paper reviews recent developments and unresolved challenges in cardiac mechanics modeling, arguing that identifying essential complexities versus safe simplifications is key to clinical translation.
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An Octahedral Fibrous Constitutive Model for Heart Valve Mechanics and Function
Develops and calibrates an anisotropic hyperelastic constitutive model based on octahedral fiber networks for mitral valve leaflets to examine effects of anisotropy and reorientation on closure and mitral regurgitation.
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Corneal deformation mapping and FE-based strain analysis via digital image correlation: biomechanical changes after CXL and laser refractive surgery
An integrated 3D-DIC inflation protocol with membrane finite-element inverse modeling quantifies CXL-induced stiffening and ablation-induced compliance increase in porcine corneas by extracting anisotropic hyperelastic parameters from full-field strain data.
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Influence of anisotropy on the expansion performance of auxetic skin meshing geometries: a finite element study
Finite element analysis shows skin anisotropy strongly affects auxetic mesh expansion, with lowest performance when Langer's lines align transversely and isotropic models overpredicting stress.
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Cardiac mechanics modeling: recent developments and current challenges
The paper reviews recent developments and unresolved challenges in cardiac mechanics modeling, arguing that identifying essential complexities versus safe simplifications is key to clinical translation.