
arXiv: 2109.08964
The presence of a nearby boundary is likely to be important in the life cycle and evolution of motile flagellate bacteria. This has led many authors to employ numerical simulations to model near-surface bacterial motion and compute hydrodynamic boundary effects. A common choice has been the method of images for regularized Stokeslets (MIRS); however, the method requires discretization sizes and regularization parameters that are not specified by any theory. To determine appropriate regularization parameters for given discretization choices in MIRS, we conducted dynamically similar macroscopic experiments and fit the simulations to the data. In the experiments, we measured the torque on cylinders and helices of different wavelengths as they rotated in a viscous fluid at various distances to a boundary. We found that differences between experiments and optimized simulations were less than 5% when using surface discretizations for cylinders and centerline discretizations for helices. Having determined optimal regularization parameters, we used MIRS to simulate an idealized free-swimming bacterium constructed of a cylindrical cell body and a helical flagellum moving near a boundary. We assessed the swimming performance of many bacterial morphologies by computing swimming speed, motor rotation rate, Purcell’s propulsive efficiency, energy cost per swimming distance, and a new metabolic energy cost defined to be the energy cost per body mass per swimming distance. All five measures predicted that the optimal flagellar wavelength is eight times the helical radius independently of body size and surface proximity. Although the measures disagreed on the optimal body size, they all predicted that body size is an important factor in the energy cost of bacterial motility near and far from a surface.
regularized Stokeslets, bacterial motility, regularization parameter, FOS: Physical sciences, Condensed Matter - Soft Condensed Matter, near boundary, dynamically similar experiment, Physics - Biological Physics, hydrodynamic, QC120-168.85, Fluid Dynamics (physics.flu-dyn), Physics - Fluid Dynamics, torque–speed curve, Computational Physics (physics.comp-ph), helical flagellum, metabolic energy, Descriptive and experimental mechanics, Biological Physics (physics.bio-ph), Thermodynamics, Soft Condensed Matter (cond-mat.soft), QC310.15-319, Physics - Computational Physics, Purcell efficiency
regularized Stokeslets, bacterial motility, regularization parameter, FOS: Physical sciences, Condensed Matter - Soft Condensed Matter, near boundary, dynamically similar experiment, Physics - Biological Physics, hydrodynamic, QC120-168.85, Fluid Dynamics (physics.flu-dyn), Physics - Fluid Dynamics, torque–speed curve, Computational Physics (physics.comp-ph), helical flagellum, metabolic energy, Descriptive and experimental mechanics, Biological Physics (physics.bio-ph), Thermodynamics, Soft Condensed Matter (cond-mat.soft), QC310.15-319, Physics - Computational Physics, Purcell efficiency
| selected citations These citations are derived from selected sources. 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). | 3 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
