scholarly journals Investigating Transport Properties with Multi-Scale Computable Mesh Models from Heterogeneous Structural Datasets

2017 ◽  
Vol 112 (3) ◽  
pp. 293a
Author(s):  
Christopher Lee ◽  
John Moody ◽  
James Andrew McCammon ◽  
Michael Holst ◽  
Rommie E. Amaro
2012 ◽  
Vol 101 (25) ◽  
pp. 251120 ◽  
Author(s):  
Marco Leonetti ◽  
Cefe Lopez

Author(s):  
Stefan Schulz ◽  
Debapriya Chaudhuri ◽  
Michael O'Donovan ◽  
Saroj K. Patra ◽  
Timo Streckenbach ◽  
...  

2017 ◽  
Author(s):  
Kirill M. Gerke ◽  
Marina V. Karsanina ◽  
Timofey O. Sizonenko ◽  
Xiuxiu Miao ◽  
Dina R. Gafurova ◽  
...  

Author(s):  
M. D. Piggott ◽  
P. E. Farrell ◽  
C. R. Wilson ◽  
G. J. Gorman ◽  
C. C. Pain

Research into the use of unstructured mesh methods in oceanography has been growing steadily over the past decade. The advantages of this approach for domain representation and non-uniform resolution are clear. However, a number of issues remain, in particular those related to the computational cost of models produced using unstructured mesh methods compared with their structured mesh counterparts. Mesh adaptivity represents an important means to improve the competitiveness of unstructured mesh models, where high resolution is only used when and where necessary. In this paper, an optimization-based approach to mesh adaptivity is described where emphasis is placed on capturing anisotropic solution characteristics. Comparisons are made between the results obtained with uniform isotropic resolution, isotropic adaptive resolution and fully anisotropic adaptive resolution.


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