Experimental inflation tests show that a transversely isotropic Humphrey-Yin hyperelastic model captures the biaxial nonlinear response of porcine diaphragmatic central tendon better than isotropic models like Fung or Yeoh.
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Variational system identification infers material parameters for neo-Hookean, modified HGO, and reduced polynomial models from full-volume tendon strain data, with the modified HGO and three-term polynomial capturing key intact and injured behaviors better than neo-Hookean.
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.
citing papers explorer
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On the Hyperelastic Behavior of the Boar Diaphragmatic Tendon Membrane by Inflation Tests and Modeling
Experimental inflation tests show that a transversely isotropic Humphrey-Yin hyperelastic model captures the biaxial nonlinear response of porcine diaphragmatic central tendon better than isotropic models like Fung or Yeoh.
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Constitutive parameter inference using physics-based data-driven modeling in full volume datasets of intact and torn rotator cuff tendons
Variational system identification infers material parameters for neo-Hookean, modified HGO, and reduced polynomial models from full-volume tendon strain data, with the modified HGO and three-term polynomial capturing key intact and injured behaviors better than neo-Hookean.
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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.