کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
768086 1462686 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An efficient immersed boundary-lattice Boltzmann flux solver for simulation of 3D incompressible flows with complex geometry
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
An efficient immersed boundary-lattice Boltzmann flux solver for simulation of 3D incompressible flows with complex geometry
چکیده انگلیسی


• It presents an immersed boundary-lattice Boltzmann flux solver for 3D flows with complex geometry.
• It improves computational efficiency and reduces virtual memory as compared with IB-LBM method.
• It presents an improved immersed boundary method for 3D problems.
• Several benchmarks are studied for validation.

To effectively simulate flows with complex geometry on stretched Cartesian grids, an efficient three-dimensional (3D) immersed boundary-lattice Boltzmann flux solver (IB-LBFS) is presented in this work. In the solver, the flow field is obtained by using the finite-volume LBFS, which applies the standard lattice Boltzmann method locally to reconstruct both viscous and inviscid fluxes simultaneously at each cell interface. The no-slip boundary condition is implemented by using an implicit boundary condition-enforced immersed boundary method. As a consequence, the IB-LBFS effectively combines the desirable features of the lattice Boltzmann flux solver and the immersed boundary method. As compared with conventional immersed boundary-lattice Boltzmann method (LBM) for applications on non-uniform grids, the tedious computation and storage of a large number of algebraic coefficients [11] are completely removed in the present solver. The proposed solver is validated by simulating flows past a stationary sphere, torus with different aspect ratios and rotating spheres. The obtained results agree well with the published data. Numerical results also show that the present solver is able to improve the computational efficiency largely and, at the same time, reduce the required virtual memory substantially.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Fluids - Volume 124, 2 January 2016, Pages 54–66
نویسندگان
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