Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa...

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Fluid Dynamics of Phytoplankton with Spines in Shear Flow Hoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa Fauci, Department of Mathematics, Tulane University Peter Jumars and Lee Karp-Boss, School of Marine Sciences, University of Maine Magdalena Musielak, Department of Mathematics, The George Washington University

Transcript of Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa...

Page 1: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Fluid Dynamics of Phytoplankton with Spines in Shear Flow

Hoa NguyenCenter for Computational Science, Tulane University

CollaboratorsLisa Fauci, Department of Mathematics, Tulane University

Peter Jumars and Lee Karp-Boss, School of Marine Sciences, University of Maine

Magdalena Musielak, Department of Mathematics, The George Washington University

Page 2: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Phytoplankton

Copyright of Smithsonian Environmental Research Center

Phytoplankton are the foundation of the oceanic food chain.

Thalassiosira nordenskioeldiiCopyright of the Biodiversity Institute of

Ontario

Page 3: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

IntroductionObject: Individual non-motile

diatom.

Goal: Understand the effects of spines on diatoms in shear flow.

Method: the Immersed Boundary Method (IBM) developed by Charles Peskin ([1], [2]).

Thalassiosira nordenskioeldiiCopyright of the Biodiversity Institute of

Ontario

Our simulation of a simplified model of the above diatom in

shear flow (Re = 8.26 x 10-4)

[1] C. S. Peskin; Numerical analysis of blood flow in the heart, J. Compu. Phys. 25, 1977, pp. 220 - 252.[2] C. S. Peskin; The immersed boundary method, Acta Numerica 11, 2002, pp. 459- 517.

Page 4: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Immersed Boundary Method (IBM)

Page 5: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Spring Force

Model of a plankter with eight spines (left) and detail of how the spines attach to the cell body (right).

Page 6: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Discretization:Spherical Centroidal Voronoi Tessellation

The triangulation on the unit sphere is the dual mesh of the Spherical Centroidal Voronoi Tessellation (SCVT), as coded by Lili Ju [6]. We map this triangulation to a surface (such as an ellipsoid, a flat disc or a plankter’s cell body) to create a discretization of the structure.

Page 7: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Fluid Solver:Immersed Boundary Method with

Adaptive Mesh Refinement (IBAMR)

B.E. Griffith, R.D. Hornung, D.M. McQueen, and C.S. Peskin. An adaptive, formally second order accurate version of the immersed boundary method. Journal of Computational Physics. 223: 10-49 (2007).

Re = 8.26

Page 8: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Jeffery Orbit

Page 9: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Ellipsoid in Shear Flow

Variation of φ with time (where φ = rotation angle relative to the initial

position).

The period from the simulation is about 1.55

s, compared with the theoretical period

T = 1.59 s.

Page 10: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Flat Disc in Shear Flow

The period from the

simulation is about 6.4 s, compared with the

experimental period

T = 7.6 s in Goldsmith

and Mason’s paper [5]

from 1962. Re = 3.03 x 10-4 (oil) Re = 1.56 (water)

Page 11: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Plankter in Shear Flow

The cell body has the same diameter as the disc, except that the top and bottom are dome-shaped (height = 0.006 cm). The spine length = 0.052 cm.

Spine angle = 0o Spine angle = 45o

Plankter without spines (Re = 3.03 x 10-4)

Plankter with eight spines (Re = 8.26 x 10-4)

Page 12: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Observe that the plankter with spines at different angles has a

longer period than the one without spines.

Simulations and ResultsT = 6.5 s

T = 8.89 s

T = 7.17 s

Page 13: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Research ExtensionsDifferent morphologies and chains

of cells.

Nutrient transport and acquisition.

Computational models and laboratory experiments.

unsteady shear and vortical background flows.

Plankter without springs internal to the cell body and spines.

Special thanks to Hideki Fujioka and Ricardo Cortez at the Center for Computational Science, Tulane University.

Page 14: Hoa NguyenHoa Nguyen Center for Computational Science, Tulane University Collaborators Lisa FauciLisa Fauci, Department of Mathematics, Tulane University.

Thanks for your

attention!

This work is supported by NSF OCE 0724598.