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ENHANCING FLUID MODELING WITH TURBULENCE AND ACCELERATION

Abstract Details

2015, PHD, Kent State University, College of Arts and Sciences / Department of Computer Science.
In this dissertation, we have proposed our solutions to four important and challenging topics in enhancing fluid modeling with turbulence and acceleration: distance field representation of obstacles in fluid, adaptive and controllable turbulence enhancement, Langevin Particles and GPU acceleration in fluid modeling. All these fields aims at creating realistic and fast fluid field which are significant in Computer Graphics. In summary, our main contributions of this dissertation can be generalized as follows: We proposed a novel distance field transform method based on an iterative method adap- tively performed on an evolving active band; We introduced a new scheme for enhancing fluid fluctuated by turbulent variation mod- eled as a random process of forcing; Langevin particles we introduced imposes agitation forces in a self-adaptive manner to inject turbulence energy into flow simulations; To achieve fast fluid modeling, we accelerated LBM solver, FTLE field computation and fluid decompression.
Ye Zhao (Advisor)
117 p.

Recommended Citations

Citations

  • Fan, C. (2015). ENHANCING FLUID MODELING WITH TURBULENCE AND ACCELERATION [Doctoral dissertation, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1426072265

    APA Style (7th edition)

  • Fan, Chen. ENHANCING FLUID MODELING WITH TURBULENCE AND ACCELERATION. 2015. Kent State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1426072265.

    MLA Style (8th edition)

  • Fan, Chen. "ENHANCING FLUID MODELING WITH TURBULENCE AND ACCELERATION." Doctoral dissertation, Kent State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1426072265

    Chicago Manual of Style (17th edition)