Literature DB >> 16391346

Unifying constructal theory for scale effects in running, swimming and flying.

Adrian Bejan1, James H Marden.   

Abstract

Biologists have treated the view that fundamental differences exist between running, flying and swimming as evident, because the forms of locomotion and the animals are so different: limbs and wings vs body undulations, neutrally buoyant vs weighted bodies, etc. Here we show that all forms of locomotion can be described by a single physics theory. The theory is an invocation of the principle that flow systems evolve in such a way that they destroy minimum useful energy (exergy, food). This optimization approach delivers in surprisingly direct fashion the observed relations between speed and body mass (M(b)) raised to 1/6, and between frequency (stride, flapping) and M(b)(-1/6), and shows why these relations hold for running, flying and swimming. Animal locomotion is an optimized two-step intermittency: an optimal balance is achieved between the vertical loss of useful energy (lifting the body weight, which later drops), and the horizontal loss caused by friction against the surrounding medium. The theory predicts additional features of animal design: the Strouhal number constant, which holds for running as well as flying and swimming, the proportionality between force output and mass in animal motors, and the fact that undulating swimming and flapping flight occur only if the body Reynolds number exceeds approximately 30. This theory, and the general body of work known as constructal theory, together now show that animal movement (running, flying, swimming) and fluid eddy movement (turbulent structure) are both forms of optimized intermittent movement.

Mesh:

Year:  2006        PMID: 16391346     DOI: 10.1242/jeb.01974

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


  20 in total

1.  The constructal law of design and evolution in nature.

Authors:  Adrian Bejan; Sylvie Lorente
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-05-12       Impact factor: 6.237

2.  Allometry of hummingbird lifting performance.

Authors:  D L Altshuler; R Dudley; S M Heredia; J A McGuire
Journal:  J Exp Biol       Date:  2010-03-01       Impact factor: 3.312

3.  Mechanical models of sandfish locomotion reveal principles of high performance subsurface sand-swimming.

Authors:  Ryan D Maladen; Yang Ding; Paul B Umbanhowar; Adam Kamor; Daniel I Goldman
Journal:  J R Soc Interface       Date:  2011-03-04       Impact factor: 4.118

Review 4.  Home ranges, habitat and body mass: simple correlates of home range size in ungulates.

Authors:  Endre Grüner Ofstad; Ivar Herfindal; Erling Johan Solberg; Bernt-Erik Sæther
Journal:  Proc Biol Sci       Date:  2016-12-28       Impact factor: 5.349

5.  Energy efficiency and allometry of movement of swimming and flying animals.

Authors:  Rahul Bale; Max Hao; Amneet Pal Singh Bhalla; Neelesh A Patankar
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-12       Impact factor: 11.205

6.  Unsteady motion: escape jumps in planktonic copepods, their kinematics and energetics.

Authors:  Thomas Kiørboe; Anders Andersen; Vincent J Langlois; Hans H Jakobsen
Journal:  J R Soc Interface       Date:  2010-05-12       Impact factor: 4.118

7.  Exponential growth combined with exponential decline explains lifetime performance evolution in individual and human species.

Authors:  Geoffroy Berthelot; Stéphane Len; Philippe Hellard; Muriel Tafflet; Marion Guillaume; Jean-Claude Vollmer; Bruno Gager; Laurent Quinquis; Andy Marc; Jean-François Toussaint
Journal:  Age (Dordr)       Date:  2011-06-22

Review 8.  Scaling aspects of lymphocyte trafficking.

Authors:  Alan S Perelson; Frederik W Wiegel
Journal:  J Theor Biol       Date:  2008-11-18       Impact factor: 2.691

9.  Effects of temperature, swimming speed and body mass on standard and active metabolic rate in vendace (Coregonus albula).

Authors:  Jan Ohlberger; Georg Staaks; Franz Hölker
Journal:  J Comp Physiol B       Date:  2007-07-20       Impact factor: 2.200

10.  Can skeletal surface area predict in vivo foot surface area?

Authors:  E Catherine Strickson; John R Hutchinson; David M Wilkinson; Peter L Falkingham
Journal:  J Anat       Date:  2019-11-12       Impact factor: 2.610

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