Hongbin Zhu

Northeast Institute of Geography and Agroecology, Peping, Beijing, China

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Publications (4)1.35 Total impact

  • Source
    Hongbin Zhu, Kai Bao, Enhua Wu, Xuehui Liu
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    ABSTRACT: In our surrounding environment, we may often see many various miscible liquid-liquid mixture phenomena, like pouring honey or ink into water, Coca Cola into strong wine etc., while few papers have devoted to the simulation of the phenomena. In this paper, we use a two-fluid lattice Boltzmann method (TFLBM) to simulate the underlying dynamics of miscible mixtures. By the method, a subgrid model is applied to improve its numerical stability so that the free surface of the mixture, accompanying with higher Reynolds number, can be simulated. We also apply control forces to the mixture with interesting animation created. By optimizing the memory structure and taking the advantage of dual-core or multi-core systems, we achieve real time computation for a domain in 643 cells full of fluid mixtures.
    Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST 2007, Newport Beach, California, USA, November 5-7, 2007; 01/2007
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    ABSTRACT: In the fluid simulation, the fluids and their surroundings may greatly change properties such as shape and temperature simultaneously, and different surroundings would characterize different interactions, which would change the shape and motion of the fluids in different ways. On the other hand, interactions among fluid mixtures of different kinds would generate more comprehensive behavior. To investigate the interaction behavior in physically based simulation of fluids, it is of importance to build physically correct models to represent the varying interactions between fluids and the environments, as well as interactions among the mixtures. In this paper, we will make a simple review of the interactions, and focus on those most interesting to us, and model them with various physical solutions. In particular, more detail will be given on the simulation of miscible and immiscible binary mixtures. In some of the methods, it is advantageous to be taken with the graphics processing unit (GPU) to achieve real-time computation for middle-scale simulation.
    The Visual Computer 01/2007; 23:299-308. · 0.91 Impact Factor
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    ABSTRACT: Miscible fluid mixtures, like pouring honey into water, Coca Cola into strong wine, are common phenomena in our daily life. While two miscible fluids are mixed together, their appearances in terms of colors and shapes will change due to their mixing interaction. The interaction between the mixture components could be regarded as a combination of the diffusing process and demixing process. If the former dominates the interaction, it is miscible; otherwise, it is immiscible. The complex microscopic interplay between the mixture components makes the simulation highly challenging. So far, there have been some dedicated research in computer graphics dealing with immiscible mixtures, but few works have been done focusing on miscible mixtures. In this paper, for the first time, we introduce a two-fluid lattice Boltzmann method (LBM), called TFLBM, applied to miscible binary mixtures. Different from other similar methods, the viscous and diffusing properties of the fluid in our work are considered separately, so that the physical insight is exposed more clearly and rationally. In addition, the operation of LBM is mostly a linear local computation, and graphics processing unit (GPU) has been utilized to achieve real-time simulation. Copyright © 2006 John Wiley & Sons, Ltd.
    Computer Animation and Virtual Worlds 07/2006; 17:403-410. · 0.44 Impact Factor
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    ABSTRACT: Through interaction with surroundings, the fluids may change their properties such as shapes, temperature vastly, and the same would happen to the surroundings simultaneously. On the other hand, different surroundings characterize different interactions, and may change the shapes and motions of the fluids in different ways. Therefore, it is of importance in physically-based simulation of fluids to build physically correct models to represent the varying interactions between fluids and the environments. In this paper, we make a simple summation on the interactions, and in particular focus on those most interesting to us, and model them with various physical solutions. In some of the methods, advantage is taken with the graphics processing unit (GPU) to achieve real-time computation for medial-scale simulation
    5th International Conference on Cyberworlds (CW 2006), 28-29 November 2006, Lausanne, Switzerland; 01/2006

Publication Stats

36 Citations
1.35 Total Impact Points

Institutions

  • 2007
    • Northeast Institute of Geography and Agroecology
      • State Key Laboratory of Computer Science
      Peping, Beijing, China
    • University of Macau
      • Department of Computer Science and Information Science
      Macao, Macau, Macao
  • 2006
    • Chinese Academy of Sciences
      • State Key Laboratory of Computer Science
      Peping, Beijing, China