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Energy-preserving integrators for fluid animation
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ACM Transactions on Graphics (TOG) archive
Volume 28 ,  Issue 3  (August 2009) table of contents
Proceedings of ACM SIGGRAPH 2009
SESSION: Fluid simulation table of contents
Article No. 38  
Year of Publication: 2009
ISSN:0730-0301
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Authors
Patrick Mullen  Caltech
Keenan Crane  Caltech
Dmitry Pavlov  Caltech
Yiying Tong  MSU
Mathieu Desbrun  Caltech
Publisher
ACM  New York, NY, USA
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ABSTRACT

Numerical viscosity has long been a problem in fluid animation. Existing methods suffer from intrinsic artificial dissipation and often apply complicated computational mechanisms to combat such effects. Consequently, dissipative behavior cannot be controlled or modeled explicitly in a manner independent of time step size, complicating the use of coarse previews and adaptive-time stepping methods. This paper proposes simple, unconditionally stable, fully Eulerian integration schemes with no numerical viscosity that are capable of maintaining the liveliness of fluid motion without recourse to corrective devices. Pressure and fluxes are solved efficiently and simultaneously in a time-reversible manner on simplicial grids, and the energy is preserved exactly over long time scales in the case of inviscid fluids. These integrators can be viewed as an extension of the classical energy-preserving Harlow-Welch / Crank-Nicolson scheme to simplicial grids.


REFERENCES

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1
Benzi, M., Golub, G. H., and Liesen, J. 2005. Numerical solution of saddle point problems. Acta Numerica 14, 1--137.
2
 
3
 
4
 
5
Chorin, A., and Marsden, J. 1979. A Mathematical Introduction to Fluid Mechanics, 3rd edition ed. Springer-Verlag.
 
6
7
8
9
10
 
11
 
12
Gresho, P. M., and Sani, R. L. 2000. Incompressible Flow and the Finite Element Method. J. Wiley & Sons.
 
13
Harlow, F. H., and Welch, J. E. 1965. Numerical calculation of time-dependent viscous incompressible flow of fluid with free surface. Physics of Fluids 8, 12 (Dec.), 2182--2189.
 
14
15
 
16
 
17
Molemaker, J., Cohen, J. M., Patel, S., and Yong Noh, J. 2008. Low viscosity flow simulations for animation. In Symposium on Computer Animation, 9--18.
 
18
Pavlov, D. 2009. Structure-preserving Discretizations of Incompressible Fluids. PhD dissertation in Mathematics, California Institute of Technology.
 
19
 
20
Schechter, H., and Bridson, R. 2008. Evolving sub-grid turbulence for smoke animation. In Symposium on Computer Animation, 1--8.
21
 
22
 
23
Shi, L., and Yu, Y. 2002. Visual smoke simulation with adaptive octree refinement. Computer Graphics and Imaging.
 
24
Simo, J., and Armero, F. 1994. Unconditional stability and long-term behavior of transient algorithms for the incompressible Navier-Stokes and Euler equations. Computer Methods in Applied Mechanics and Engineering 111, 1--2, 111--154.
 
25
 
26
Steinhoff, J., and Underhill, D. 1994. Modification of the euler equations for Vorticity Confinement. Physics of Fluids 6, 8 (Aug.), 2738--2744.
27
 
28
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Collaborative Colleagues:
Patrick Mullen: colleagues
Keenan Crane: colleagues
Dmitry Pavlov: colleagues
Yiying Tong: colleagues
Mathieu Desbrun: colleagues