2023
DOI: 10.1101/2023.01.17.524366
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The 3D coarse-graining formulation of interacting elastohydrodynamic filaments and multi-body microhydrodynamics

Abstract: Elastic filaments are vital to biological, physical and engineering systems, from cilia driving fluid in the lungs to artificial swimmers and micro-robotics. Simulating slender structures requires intricate balance of elastic, body, active, and hydrodynamic moments, all in three-dimensions. Here, we present a generalised 3D coarse-graining formulation that is efficient, simple-to-implement, readily extendable and usable for a wide array of applications. Our method allows for simulation of collections of 3D ela… Show more

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Cited by 1 publication
(4 citation statements)
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“…We offer a simple and intuitive method for simulating fully 3D interacting elastic filaments coupled via non-local multi-body microhydrodynamics (Matlab code provided [ 47 ]). By using asymptotic integration of momentum balance along each coarse-grained segment [ 12 ], we avoid challenging numerical treatment of high-order fluid–structure interaction PDEs and the numerically stiff Lagrange multipliers required to enforce the inextensibility constraint.…”
Section: Discussionmentioning
confidence: 99%
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“…We offer a simple and intuitive method for simulating fully 3D interacting elastic filaments coupled via non-local multi-body microhydrodynamics (Matlab code provided [ 47 ]). By using asymptotic integration of momentum balance along each coarse-grained segment [ 12 ], we avoid challenging numerical treatment of high-order fluid–structure interaction PDEs and the numerically stiff Lagrange multipliers required to enforce the inextensibility constraint.…”
Section: Discussionmentioning
confidence: 99%
“…We use Matlab solver ode15s to handle numerical integration, but note that any ODE solver can be used, highlighting the simplicity of the matrix representation. A Matlab implementation is provided here [ 47 ] to serve as a basis for rapid customization and further generalizations. We hope that the simplicity of the matrix system allows researchers to use a numerical platform of their choice for quick implementation.…”
Section: Methodsmentioning
confidence: 99%
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