Hansen J C, Skalak R, Chien S, Hoger A
Department of Bioengineering, University of California, San Diego, La Jolla 92093, USA.
Biophys J. 1996 Jan;70(1):146-66. doi: 10.1016/S0006-3495(96)79556-5.
A 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.
已开发出一种有限元网络模型,用于根据红细胞(RBC)膜骨架的微观结构预测其宏观弹性剪切模量和面积膨胀模量。血影蛋白分子之间连接的拓扑结构由随机德劳内三角剖分的边表示,单个血影蛋白分子的弹性由线性弹簧单元的弹簧常数K表示。通过规定边界上的节点位移使模型网络发生变形。内部节点的位置由有限元程序计算。网络的平均响应用于计算相应有效连续体的剪切模量(μ)和面积膨胀模量(κ)。对于具有中等随机度的网络,该模型预测在小变形时μ/K = 0.45且κ/K = 0.90。这些结果与先前关于μ/κ比值的计算模型和实验估计一致。该模型还预测,在具有不同随机度的网络中,弹性模量变化20%或更多。在大变形中,μ作为伸长比λ1的三次函数增加,当λ1 = 1.5时,μ/K = 0.62。