![Theses and Dissertations](../../assets/md5images/007ba8c2f9f7b20b26ed4b229bc29542.jpg)
Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Thompson, David
Committee Member
Luke, Edward
Committee Member
Lim, Hyeona
Date of Degree
5-7-2005
Document Type
Graduate Thesis - Open Access
Major
Computational Engineering (program)
Degree Name
Master of Science
College
James Worth Bagley College of Engineering
Department
Computational Engineering Program
Abstract
Two refinement techniques to generate solution adaptive meshes have been developed. Both techniques utilize arbitrary polyhedra (general elements) to constrain the propagation of refinement. A face-based approach that produces isotropic refinement and a combined element- and edge-based approach that produces anisotropic refinement are presented. Refinement is triggered through sensors that use a shock detection algorithm or error estimation based on the smoothness of the reconstructed solution variables. The basic algorithms as well as specific implementation issues are presented. The advantages and disadvantages of the different methods are discussed and illustrated through a set of synthetic and realistic test cases. It is shown that general elements can be employed effectively in solution adaptive meshes generated using refinement.
URI
https://hdl.handle.net/11668/17373
Recommended Citation
Senguttuvan, Vinoad, "Solution Adaptive Isotropic And Anisotropic Mesh Refinement Using General Elements" (2005). Theses and Dissertations. 3989.
https://scholarsjunction.msstate.edu/td/3989
Comments
Mesh adaptation||Refinement