2021
DOI: 10.48550/arxiv.2110.05548
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Modeling creeping flows in porous media using regularized Stokeslets

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“…6). This required a thickness of 1.575 µm, which is nine times the screening thickness α [94] of a Brinkman medium with matching resistive properties to the porous medium represented by our random distribution of regularized Stokeslets with density ρ = 240/µm 3 and blob parameter ε = 0.01µm [77]. In calculations of the swimming velocity and velocity field, we gradually increased the thickness of the shell from α −1 , to 3α −1 , to 9α −1 as shown in Fig.…”
Section: Discussionmentioning
confidence: 99%
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“…6). This required a thickness of 1.575 µm, which is nine times the screening thickness α [94] of a Brinkman medium with matching resistive properties to the porous medium represented by our random distribution of regularized Stokeslets with density ρ = 240/µm 3 and blob parameter ε = 0.01µm [77]. In calculations of the swimming velocity and velocity field, we gradually increased the thickness of the shell from α −1 , to 3α −1 , to 9α −1 as shown in Fig.…”
Section: Discussionmentioning
confidence: 99%
“…The confining mucus gel is modeled by a layer of randomly distributed static regularized Stokeslets (v = 0 at Stokeslet locations). This is similar to previously employed models [69] and the density and size of the regularized Stokeslets can be chosen to correspond to a Brinkman medium [77]. Modeling confinement typically involves O(10 6 ) regularized Stokeslets, and we use the Kernel Independent Fast Multipole Method [78,79] to solve the system of equations that result from velocity conditions specified at each Stokeslet and the force-and torque free constraints.…”
Section: Hydrodynamic Modelmentioning
confidence: 99%
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