[MARMAM] New Article: A computational fluid dynamics (CFD) based method for assessing the hydrodynamic impact of animal borne data loggers on host marine mammals.

Chris McKnight jcm20 at st-andrews.ac.uk
Tue May 21 04:03:39 PDT 2019


New Article: A computational fluid dynamics (CFD) based method for
assessing the hydrodynamic impact of animal borne data loggers on host
marine mammals.

Dear MARMAM,

We are pleased to announce our publication:

Kyte A., Pass C., Pemberton R., Sharman M. and McKnight J. C (2019). A
computational fluid dynamics (CFD) based method for assessing the
hydrodynamic impact of animal borne data loggers on host marine mammals.
Marine Mammal Science.
https://doi.org/10.1111/mms.12540


Abstract:

Animal‐borne data loggers (ABDLs) or “tags” are regularly used to elucidate
animal ecology and physiology, but current literature highlights the need
to assess associated deleterious impacts including increased resistive
force to motion. Previous studies have used computational fluid dynamics
(CFD) to estimate this impact, but many suffer limitations (*e.g*.,
inaccurate turbulence modeling, neglecting boundary layer transition,
neglecting added mass effects, and analyzing the ABDL in isolation from the
animal).

A novel CFD‐based method is presented in which a “tag impact envelope” is
defined utilizing simulations with and without transition modeling to
define upper and lower drag limits, respectively, and added mass
coefficients are found *via* simulations with sinusoidally varying inlet
velocity, with modified Navier‐Stokes conservation of momentum equations
enforcing a shift to the animal's noninertial reference frame. The method
generates coefficients for calculating total resistive force for any
velocity and acceleration combination, and is validated against theory for
a prolate spheroid. An example case shows ABDL drag impact on a harp seal
of 11.21%–16.24%, with negligible influence on added mass.

By considering the effects of added mass and boundary layer transition, the
approach presented is an enhancement to the CFD‐based ABDL impact
assessment methods previously applied by researchers.


Best wishes,
Chris McKnight
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