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pubmed-article:8770194pubmed:abstractTextA finite element network model has been developed to predict the macroscopic elastic shear modulus and the area expansion modulus of the red blood cell (RBC) membrane skeleton on the basis of its microstructure. The topological organization of connections between spectrin molecules is represented by the edges of a random Delaunay triangulation, and the elasticity of an individual spectrin molecule is represented by the spring constant, K, for a linear spring element. The model network is subjected to deformations by prescribing nodal displacements on the boundary. The positions of internal nodes are computed by the finite element program. The average response of the network is used to compute the shear modulus (mu) and area expansion modulus (kappa) for the corresponding effective continuum. For networks with a moderate degree of randomness, this model predicts mu/K = 0.45 and kappa/K = 0.90 in small deformations. These results are consistent with previous computational models and experimental estimates of the ratio mu/kappa. This model also predicts that the elastic moduli vary by 20% or more in networks with varying degrees of randomness. In large deformations, mu increases as a cubic function of the extension ratio lambda 1, with mu/K = 0.62 when lambda 1 = 1.5.lld:pubmed
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pubmed-article:8770194pubmed:authorpubmed-author:ChienSSlld:pubmed
pubmed-article:8770194pubmed:authorpubmed-author:HansenJ CJClld:pubmed
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pubmed-article:8770194pubmed:pagination146-66lld:pubmed
pubmed-article:8770194pubmed:dateRevised2010-9-10lld:pubmed
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pubmed-article:8770194pubmed:articleTitleAn elastic network model based on the structure of the red blood cell membrane skeleton.lld:pubmed
pubmed-article:8770194pubmed:affiliationDepartment of Bioengineering, University of California, San Diego, La Jolla 92093, USA.lld:pubmed
pubmed-article:8770194pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:8770194pubmed:publicationTypeIn Vitrolld:pubmed
pubmed-article:8770194pubmed:publicationTypeResearch Support, U.S. Gov't, Non-P.H.S.lld:pubmed
pubmed-article:8770194pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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