典型文献
Stirring by anisotropic squirming
文献摘要：
We consider a fluid stirred by the locomotions of squirmers through it and generalize the stochastic hy- drodynamic model proposed by Thiffeault and Childress, Phys. Lett. A (2010) and Lin et al., J. Fluid Mech. (2011) to the case in which the swimmers move in anisotropically random directions. A non-diagonal effective diffusivity tensor is derived with which the diffusive preference of a passive particle along any given direction can be computed to provide more details of the phenomena beyond scalar statistics. We further identify a fraction from the orthogonal decomposition of the drift-induced particle displacement to distinguish the underlying nonlinear mixing mechanism for different types of swimmers. Numerical simulations verify the analytical results with explicit examples of prescribed, anisotropic stirring motions. We also connect our formulation to several measures used in clinical medical research such as diffusion tensor imaging where anisotropic diffusion has a significant consequence.
文献关键词：
中图分类号：
作者姓名：
Zhi Lin;Sirui Zhu;Lingyun Ding
作者机构：
School of Mathematical Sciences,Zhejiang University,Hangzhou,Zhejiang 310027,China;Department of Mathematics,University of North Carolina,Chapel Hill,NC 27599,United States
文献出处：
引用格式：
[1]Zhi Lin;Sirui Zhu;Lingyun Ding-.Stirring by anisotropic squirming)[J].力学快报（英文）,2022(04):286-293
A类：
Stirring,squirming,locomotions,squirmers,Thiffeault,Childress,anisotropically
B类：
by,We,consider,fluid,stirred,through,generalize,stochastic,drodynamic,model,proposed,Phys,Lett,Lin,Fluid,Mech,case,which,swimmers,move,random,directions,diagonal,effective,diffusivity,tensor,derived,diffusive,preference,passive,particle,along,any,given,computed,provide,more,details,phenomena,beyond,scalar,statistics,further,identify,fraction,from,orthogonal,decomposition,drift,induced,displacement,distinguish,underlying,nonlinear,mixing,mechanism,different,types,Numerical,simulations,verify,analytical,results,explicit,examples,prescribed,stirring,also,connect,our,formulation,several,measures,used,clinical,medical,research,such,diffusion,imaging,where,significant,consequence
AB值：
0.632976
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