Erratum to Dynamic BFECC Characteristic Mapping m

Authors: Xiaosheng Li Le Liu Wen Wu Xuehui Liu Enhua Wu

Publish Date: 2014/05/24

Volume: 30, Issue: 6-8, Pages: 963-966

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Abstract

Comparison of different values of epsilon From left to right the first one is semiLagrangian advection while the others used epsilon of epsilon x 3Delta x and 5Delta x for DBCM method Smaller epsilon led to more detailed and turbulent surface epsilon can be used for controlling the details As level set was used for identifying the fluid domain the underlying simulations could be slightly different with different values of epsilon Even with high tolerance value the result was still much better than that of semiLagrangian advectionResults of Zalesak’ disk top and Enright’s sphere bottom after one full cycle of rotation and deformation under different advection schemes start from the second column 1 SemiLagrangian advection 2 BFECC advection 3 Linear CM method 4 DBCM method The leftmost column is the initial contour All resolutions used were 1283Two simple 2D smoke simulations using semiLagrangian advection semiLagrangian CM method and our method from left to right on a 2562 grid Using BFECC advection for mapping function captures the most details and the result is less diffusive than the other two methodsSnapshots of 3D smoke simulation with linear semiLagrangian advection linear CM method DBCM method DBCM produced a result with the most details and details of thin smoke sheets were clearly captured Resolution of base fluid simulation was 128 times 256 times 128 N c was set to 256 for varvecchi and N f was set to 256 for varvecchi R for DBCM methodSmoke simulation with fire simulation using DBCM method Fuel and temperature field were used to simulate the fire DBCM advected the density fuel and temperature field simultaneously with the same mapping function and captured rich details of the distribution of these physical variables visualized as smoke and fire N c was set to 256 for varvecchi and N f was set to 256 for varvecchi R for DBCM methodSemiLagrangian water simulation using our method for advection of the level set Our method is capable of capturing small details of the water The resolution of base fluid simulation was 1283 N c was 128 and N f was 256 The bunny model is courtesy of the Stanford 3D Scanning RepositoryDoubledam breaking simulation by the combination of SLC with our method Two columns of water were released to collide with each other to create tall thin sheets and then fell down Our method captured such details easily without much effort The resolution of base fluid simulation was 643 N c was 128 and N f was 256

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