Committee Chair
Karman Jr., Steve
Committee Member
Anderson, W. Kyle; Wang, Li
College
College of Engineering and Computer Science
Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
A physics-based approach to point cloud distribution for mesh generation is investigated using inter-nodal attraction and repulsion forces based on the Lennard-Jones pair potential and a simplified particle dynamics simulation. This method produces smooth distributions of points which accurately correspond to desired scalar spacing fields. Resulting point distributions are triangulated using Lawson's algorithm and the quality of these resulting meshes is measured, demonstrating the effectiveness of the approach. Several features planned for future development for increasing the robustness and versatility of the proposed method are discussed.
Degree
M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.
Date
12-2013
Subject
Dynamics of a particle; Numerical grid generation (Numerical analysis)
Discipline
Computational Engineering
Document Type
Masters theses
DCMI Type
Text
Extent
xvii, 126 leaves
Language
English
Rights
https://rightsstatements.org/page/InC/1.0/?language=en
License
http://creativecommons.org/licenses/by/3.0/
Recommended Citation
Fackler, Philip Wesley, "Physics-based point placement by particle dynamics simulation" (2013). Masters Theses and Doctoral Dissertations.
https://scholar.utc.edu/theses/90
Department
Dept. of Computational Engineering