Literature DB >> 18456881

Numerical investigation of the hydrodynamics of carangiform swimming in the transitional and inertial flow regimes.

Iman Borazjani1, Fotis Sotiropoulos.   

Abstract

We employ numerical simulation to investigate the hydrodynamics of carangiform locomotion as the relative magnitude of viscous and inertial forces, i.e. the Reynolds number (Re), and the tail-beat frequency, i.e. the Strouhal number (St), are systematically varied. The model fish is a three-dimensional (3D) mackerel-like flexible body undulating with prescribed experimental kinematics of carangiform type. Simulations are carried out for three Re spanning the transitional and inertial flow regimes, Re=300 and 4000 (viscous flow), and infinity (inviscid flow). For each Re there is a critical Strouhal number, St*, at which the net mean force becomes zero, making constant-speed self-propulsion possible. St* is a decreasing function of Re and approaches the range of St at which most carangiform swimmers swim in nature (St approximately 0.25) only as Re approaches infinity. The propulsive efficiency at St* is an increasing function of Re while the power required for swimming is decreasing with Re. For all Re, however, the swimming power is shown to be significantly greater than that required to tow the rigid body at the same speed. We also show that the variation of the total drag and its viscous and form components with St depend on the Re. For Re=300, body undulations increase the drag over the rigid body level, while significant drag reduction is observed for Re=4000. This difference is shown to be due to the fact that at sufficiently high Re the drag force variation with St is dominated by its form component variation, which is reduced by undulatory swimming for St>0.2. Finally, our simulations clarify the 3D structure of various wake patterns observed in experiments--single and double row vortices--and suggest that the wake structure depends primarily on the St. Our numerical findings help elucidate the results of previous experiments with live fish, underscore the importance of scale (Re) effects on the hydrodynamic performance of carangiform swimming, and help explain why in nature this mode of swimming is typically preferred by fast swimmers.

Mesh:

Year:  2008        PMID: 18456881     DOI: 10.1242/jeb.015644

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  34 in total

1.  Optimal shape and motion of undulatory swimming organisms.

Authors:  Grgur Tokić; Dick K P Yue
Journal:  Proc Biol Sci       Date:  2012-03-28       Impact factor: 5.349

2.  How body torque and Strouhal number change with swimming speed and developmental stage in larval zebrafish.

Authors:  Johan L van Leeuwen; Cees J Voesenek; Ulrike K Müller
Journal:  J R Soc Interface       Date:  2015-09-06       Impact factor: 4.118

3.  A non-dimensional parameter for classification of the flow in intracranial aneurysms. I. Simplified geometries.

Authors:  Hafez Asgharzadeh; Iman Borazjani
Journal:  Phys Fluids (1994)       Date:  2019-03-26       Impact factor: 3.521

4.  A non-dimensional parameter for classification of the flow in intracranial aneurysms. II. Patient-specific geometries.

Authors:  Hafez Asgharzadeh; Hossein Asadi; Hui Meng; Iman Borazjani
Journal:  Phys Fluids (1994)       Date:  2019-03-26       Impact factor: 3.521

5.  The effect of implantation orientation of a bileaflet mechanical heart valve on kinematics and hemodynamics in an anatomic aorta.

Authors:  Iman Borazjani; Fotis Sotiropoulos
Journal:  J Biomech Eng       Date:  2010-11       Impact factor: 2.097

6.  A Newton-Krylov method with an approximate analytical Jacobian for implicit solution of Navier-Stokes equations on staggered overset-curvilinear grids with immersed boundaries.

Authors:  Hafez Asgharzadeh; Iman Borazjani
Journal:  J Comput Phys       Date:  2016-11-25       Impact factor: 3.553

7.  Vortex interactions with flapping wings and fins can be unpredictable.

Authors:  David Lentink; Gertjan F Van Heijst; Florian T Muijres; Johan L Van Leeuwen
Journal:  Biol Lett       Date:  2010-02-03       Impact factor: 3.703

8.  Predicting power-optimal kinematics of avian wings.

Authors:  Ben Parslew
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

9.  Efficient collective swimming by harnessing vortices through deep reinforcement learning.

Authors:  Siddhartha Verma; Guido Novati; Petros Koumoutsakos
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-21       Impact factor: 11.205

10.  The fish tail motion forms an attached leading edge vortex.

Authors:  Iman Borazjani; Mohsen Daghooghi
Journal:  Proc Biol Sci       Date:  2013-02-13       Impact factor: 5.349

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.