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Title: A moving control volume approach to computing hydrodynamic forces and torques on immersed bodies

Journal Article · · Journal of Computational Physics
 [1];  [2];  [3]; ORCiD logo [2]
  1. Northwestern Univ., Evanston, IL (United States). Dept. of Engineering Sciences and Applied Mathematics
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Applied Numerical Algorithms Group
  3. Northwestern Univ., Evanston, IL (United States). Dept. of Engineering Sciences and Applied Mathematics, Dept. of Mechanical Engineering

Here, we present a moving control volume (CV) approach to computing hydrodynamic forces and torques on complex geometries. The method requires surface and volumetric integrals over a simple and regular Cartesian box that moves with an arbitrary velocity to enclose the body at all times. The moving box is aligned with Cartesian grid faces, which makes the integral evaluation straightforward in an immersed boundary (IB) framework. Discontinuous and noisy derivatives of velocity and pressure at the fluid–structure interface are avoided and far-field (smooth) velo city and pressure information is used. We re-visit the approach to compute hydrodynamic forces and torques through force/torque balance equations in a Lagrangian frame that some of us took in a prior work (Bhalla et al., 2013 [13]). We prove the equivalence of the two approaches for IB methods, thanks to the use of Peskin's delta functions. Both approaches are able to suppress spurious force oscillations and are in excellent agreement, as expected theoretically. Test cases ranging from Stokes to high Reynolds number regimes are considered. We discuss regridding issues for the moving CV method in an adaptive mesh refinement (AMR) context. The proposed moving CV method is not limited to a specific IB method and can also be used, for example, with embedded boundary methods.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); National Science Foundation (NSF); National Institutes of Health (NIH)
Grant/Contract Number:
AC02-05CH11231; SI2-SSI-1450374; DGE-1324585; NIH HL117163; ACI 1450327
OSTI ID:
1379929
Alternate ID(s):
OSTI ID: 1550439
Journal Information:
Journal of Computational Physics, Vol. 347, Issue C; ISSN 0021-9991
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 17 works
Citation information provided by
Web of Science

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  • Vázquez-Quesada, Adolfo; Balboa Usabiaga, Florencio; Delgado-Buscalioni, Rafael
  • The Journal of Chemical Physics, Vol. 141, Issue 20 https://doi.org/10.1063/1.4901889
journal November 2014