Literature DB >> 14561348

Comparing fluid mechanics models with experimental data.

G R Spedding1.   

Abstract

The art of modelling the physical world lies in the appropriate simplification and abstraction of the complete problem. In fluid mechanics, the Navier-Stokes equations provide a model that is valid under most circumstances germane to animal locomotion, but the complexity of solutions provides strong incentive for the development of further, more simplified practical models. When the flow organizes itself so that all shearing motions are collected into localized patches, then various mathematical vortex models have been very successful in predicting and furthering the physical understanding of many flows, particularly in aerodynamics. Experimental models have the significant added convenience that the fluid mechanics can be generated by a real fluid, not a model, provided the appropriate dimensionless groups have similar values. Then, analogous problems can be encountered in making intelligible but independent descriptions of the experimental results. Finally, model predictions and experimental results may be compared if, and only if, numerical estimates of the likely variations in the tested quantities are provided. Examples from recent experimental measurements of wakes behind a fixed wing and behind a bird in free flight are used to illustrate these principles.

Mesh:

Year:  2003        PMID: 14561348      PMCID: PMC1693256          DOI: 10.1098/rstb.2003.1352

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  3 in total

1.  A family of vortex wakes generated by a thrush nightingale in free flight in a wind tunnel over its entire natural range of flight speeds.

Authors:  G R Spedding; M Rosén; A Hedenström
Journal:  J Exp Biol       Date:  2003-07       Impact factor: 3.312

Review 2.  Modelling approaches in biomechanics.

Authors:  R McN Alexander
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2003-09-29       Impact factor: 6.237

3.  Uncertainty calculations for theoretical flight power curves.

Authors:  G R Spedding; C J Pennycuick
Journal:  J Theor Biol       Date:  2001-01-21       Impact factor: 2.691

  3 in total

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