Graduation Year
2009
Document Type
Dissertation
Degree
Ph.D.
Degree Granting Department
Civil Engineering
Major Professor
Daniel C. Simkins, Jr., Ph.D.
Committee Member
Andrés Tejada-Martinez, Ph.D.
Committee Member
Stanley Kranc, Ph.D., P.E.
Committee Member
Sudeep Sarkar, Ph.D.
Committee Member
David Rabson, Ph.D.
Keywords
meshing, regularity, RKEM, interpolation, surface representation
Abstract
The Reproducing Kernel Element Method (RKEM) is a hybrid between finite elements and meshfree methods that provides shape functions of arbitrary order and continuity yet retains the Kronecker-delta property. To achieve these properties, the underlying mesh must meet certain regularity constraints, unique to RKEM. The aim of this dissertation is to develop a precise definition of these constraints, and a general algorithm for assessing a mesh is developed. This check is a critical step in the use of RKEM in any application.
The general checking algorithm is made more specific to apply to two-dimensional triangular meshes with circular supports and to three-dimensional tetrahedral meshes with spherical supports. The checking algorithm features the output of the uncovered regions that are used to develop a mesh-mending technique for fixing offending meshes. The specific check is used in conjunction with standard quality meshing techniques to produce meshes suitable for use with RKEM.
The RKEM quasi-uniformity definitions enable the use of RKEM in solving Galerkin weak forms as well as in general interpolation applications, such as the representation of geometries. A procedure for determining a RKEM representation of discrete point sets is presented with results for surfaces in three-dimensions. This capability is important to the analysis of geometries such as patient-specific organs or other biological objects.
Scholar Commons Citation
Collier, Nathaniel O., "The Quasi-Uniformity Condition and Three-Dimensional Geometry Representation as it Applies to the Reproducing Kernel Element Method" (2009). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/1904