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作 者:Magdalini Ntetsika Panayiotis Papadopoulos
机构地区:[1]Department of Mechanical Engineering,University of California,Berkeley,CA,94720-1740,USA
出 处:《Computer Modeling in Engineering & Sciences》2021年第12期1243-1258,共16页工程与科学中的计算机建模(英文)
摘 要:A new and computationally efficient version of the immersed boundary method,which is combined with the coarse-graining method,is introduced for modeling inextensible filaments immersed in low-Reynolds number flows.This is used to represent actin biopolymers,which are constituent elements of the cytoskeleton,a complex network-like structure that plays a fundamental role in shape morphology.An extension of the traditional immersed boundary method to include a stochastic stress tensor is also proposed in order to model the thermal fluctuations in the fluid at smaller scales.By way of validation,the response of a single,massless,inextensible semiflexible filament immersed in a thermally fluctuating fluid is obtained using the suggested numerical scheme and the resulting time-averaged contraction of the filament is compared to the theoretical value obtained from the worm-like chain model.
关 键 词:Semiflexible biopolymers immersed boundary method COARSE-GRAINING actin filaments fluid-structure interaction thermal fluctuations persistence length
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