Turbulent Fluids

Ye Zhao             Assistant Professor

Fan Chen           Ph.D. Student

Zhi Yuan           Ph.D. Student

Department of Computer Science

Kent  State University

Title: Enhancing Fluid Animation with Adaptive, Controllable and Intermittent Turbulence.

Ye Zhao, Zhi Yuan and Fan Chen

Appearing in ACM SIGGRAPH/Eurographic Symposium of Computer Animation, Madrid, Spain, Jul, 2010

 

Abstract:

This paper proposes a new scheme for enhancing fluid animation with controllable turbulence. An existing fluid simulation from ordinary fluid solvers is fluctuated by turbulent variation modeled as a random process of forcing. The variation is precomputed as a sequence of solenoidal noise vector fields directly in the spectral domain, which is fast and easy to implement. The spectral generation enables flexible vortex scale and spectrum control following a user prescribed energy spectrum, e.g. Kolmogorov's cascade theory, so that the fields provide fluctuations in subgrid scales and/or in preferred large octaves. The vector fields are employed as turbulence forces to agitate the existing flow, where they act as a stimulus of turbulence inside the framework of the Navier-Stokes equations, leading to natural integration and temporal consistency. The scheme also facilitates adaptive turbulent enhancement steered by various physical or user-defined properties, such as strain rate, vorticity, distance to objects and scalar density, in critical local regions. Furthermore, an important feature of turbulent fluid, intermittency, is created by applying turbulence control during randomly selected temporal periods.

Paper Download:          PDF (6.3 M)

 

Video Download:           ZIP (32.5 M)

 

Figures and Examples:

 

Support: U.S. National Science Foundation under grant IIS-0916131, PI: Ye Zhao

 

 

 

 

Random vector fields generated for a preferred scale with different deviations.

Divergence-free vector fields with two octaves showing blended rotational behaviors from the two scales. Turbulent agitation from the small scale is controlled with different kinetic energy spectrum distributions.

Data flow of our forced fluid simulation. A sequence of precomputed solenoidal fields (ST) work as random forces (f) in a forced fluid solver (FNS) to introduce turbulence.  The results (U) of large-scale simulations (NS) are combined with the feedback of FNS results, in order to direct the simulation to follow large-scale flows.

Turbulence enhancement animation 1: (video 7.5 M)

Original coarse simulation

 Wavelet subgrid turbulence

 Our subgrid turbulence

Original coarse simulation

with vortex confinement          

Wavelet turbulence

Our turbulence

Our turbulence

Our strong turbulence

Our increased turbulence

Turbulence enhancement animation 2&3: (video 17.5 M)

Original laminar fluid  

Enhanced turbulent fluid

Enhanced finer turbulent fluid

Turbulence enhancement animation 4 with SPH solver: (video 17.4 M)

Created 05/25/2010       

We thank Theodore Kim and Nils Thuerey for their publicly released source code of wavelet turbulence, and Rama Hoetzlein for his SPH open source code - Fluids v.1.