Terminal Star Operations Algorithm for Tetrahedral Mesh Improvement

Author(s):  
Fernando Balboa ◽  
Pedro Rodriguez-Moreno ◽  
María-Cecilia Rivara
2016 ◽  
Vol 163 ◽  
pp. 289-301 ◽  
Author(s):  
Mengmeng Shang ◽  
Chaoyan Zhu ◽  
Jianjun Chen ◽  
Zhoufang Xiao ◽  
Yao Zheng

Author(s):  
Marek Krzysztof Misztal ◽  
Jakob Andreas Bærentzen ◽  
François Anton ◽  
Kenny Erleben

2016 ◽  
Vol 33 (3) ◽  
pp. 393-414 ◽  
Author(s):  
Jianjun Chen ◽  
Jianjing Zheng ◽  
Yao Zheng ◽  
Zhoufang Xiao ◽  
Hang Si ◽  
...  

2016 ◽  
Vol 163 ◽  
pp. 302-314 ◽  
Author(s):  
Franco Dassi ◽  
Lennard Kamenski ◽  
Hang Si

Author(s):  
Bryan Matthew Klingner ◽  
Jonathan Richard Shewchuk

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yuzheng Ma ◽  
Monan Wang

AbstractIn this paper, we proposed a novel operation to reconstruction tetrahedrons within a certain region, which we call MFRC (Multi-face reconstruction). During the existing tetrahedral mesh improvement methods, the flip operation is one of the very important components. However, due to the limited area affected by the flip, the improvement of the mesh quality by the flip operation is also very limited. The proposed MFRC algorithm solves this problem. MFRC can reconstruct the local mesh in a larger range and can find the optimal tetrahedron division in the target area within acceptable time complexity. Therefore, based on the MFRC algorithm, we combined other operations including smoothing, edge removal, face removal, and vertex insertion/deletion to develop an effective mesh quality improvement method. Numerical experiments of dozens of meshes show that the algorithm can effectively improve the low-quality elements in the tetrahedral mesh, and can effectively reduce the running time, which has important significance for the quality improvement of large-scale mesh.


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