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http://dx.doi.org/10.7315/CADCAM.2013.399

GPU-accelerated Lattice Boltzmann Simulation for the Prediction of Oil Slick Movement in Ocean Environment  

Ha, Sol (Engineering Research Institute, Seoul National University)
Ku, Namkug (Engineering Research Institute, Seoul National University)
Roh, Myung-Il (Department of Naval Architecture & Ocean Engineering and Research Institute of Marine Systems Engineering, Seoul National University)
Publication Information
Korean Journal of Computational Design and Engineering / v.18, no.6, 2013 , pp. 399-406 More about this Journal
Abstract
This paper describes a new simulation technique for advection-diffusion phenomena over the sea surface using the lattice Boltzmann method (LBM), capable of predicting oil dispersion from tankers. The LBM is used to solve the pollutant transport problem within the framework of the ocean environment. The sea space is represented by the lattices, where each lattice has the information on oil transportation. Since dispersed oils (i.e., oil droplets) at sea are transported by convection due to waves, buoyancy, and turbulent diffusion, the conservation of mass and many physical oil transport rules were used in the prediction model. Since the LBM is modeled using the uniform lattices and simple rules, it can be easily accelerated by the parallel mechanism, for example, GPU-accelerated method. The proposed model using the LBM is used to simulate a simple pollution event with the oil pollutants of 10,000 kL. The simulation results indicate that the LBM method accelerated with the GPU is 6 times faster than that without the GPU.
Keywords
CUDA (Compute Unified Device Architecture); GPGPU (General-Purpose computing on Graphics Processing Units); Lattice Boltzmann method; Oil slick movement and spreading;
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