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Many microorganisms swim through gels, materials with nonzero zero-frequency elastic shear modulus, such as mucus. Biological gels are typically heterogeneous, containing both a structural scaffold (network) and a fluid solvent. We analyze the swimming of an infinite sheet undergoing transverse traveling wave deformations in the "two-fluid" model of a gel, which treats the network and solvent as two coupled elastic and viscous continuum phases. We show that geometric nonlinearities must be incorporated to obtain physically meaningful results. We identify a transition between regimes where the network deforms to follow solvent flows and where the network is stationary. Swimming speeds can be enhanced relative to Newtonian fluids when the network is stationary. Compressibility effects can also enhance swimming velocities. Finally, microscopic details of sheet-network interactions influence the boundary conditions between the sheet and network. The nature of these boundary conditions significantly impacts swimming speeds.
6 pages, 5 figures, submitted to EPL
Biological Physics (physics.bio-ph), Fluid Dynamics (physics.flu-dyn), Soft Condensed Matter (cond-mat.soft), FOS: Physical sciences, Physics - Biological Physics, Physics - Fluid Dynamics, Condensed Matter - Soft Condensed Matter
Biological Physics (physics.bio-ph), Fluid Dynamics (physics.flu-dyn), Soft Condensed Matter (cond-mat.soft), FOS: Physical sciences, Physics - Biological Physics, Physics - Fluid Dynamics, Condensed Matter - Soft Condensed Matter
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 94 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |