A high-order scheme is examined an implemented in an unstructured solver. The motivation for this researcher is driven by research goals to simulate field equations, particularly those of fluid dynamics, with high fidelity. High-order schemes overcome computational limitations by computing comparable solutions on grids that are coarser than grids required by a second-order flow solver. The scheme was chosen based on two criteria. The first being that it is well documented in the literature for two-dimensional flow solvers. The second is that the scheme is extendable to the framework used in the Tenasi flow solver developed at the University of Chattanooga SimCenter: National Center for Computational Engineering. The accuracy of the scheme ...
This paper explores the implementation of adaptive mesh refinement in an unstructured, finite-volume...
The present work illustrates a method for numerical resolution of partial differential equations bas...
High-order accurate methods have the potential to dramatically reduce the computational time needed ...
High-order numerical methods for unstructured grids combine the superior accuracy of high-order spec...
2022 Summer.Includes bibliographical references.Computational fluid dynamics (CFD) is an invaluable ...
This dissertation contains several approaches to resolve irregularity issues of CFD problems, includ...
This paper is concerned with the application of k-exact finite volume methods for compressible Reyno...
Understanding the motion of fluids is crucial for the development and analysis of new designs and p...
Enviado a "Computer methods in applied mechanics and engineering"[Abstract] This paper introduces th...
University of Minnesota Ph.D. dissertation. August 2015. Major: Aerospace Engineering and Mechanics....
This paper is concerned with the application of k-exact finite volume methods for compressible Reyno...
A novel high-order finite volume scheme using flux correction methods in conjunction with structured...
We describe the implementation of a computational fluid dynamics solver for the simulation of high-s...
Aceptado para su publicación en International journal for numerical methods in engineering, el 08/06...
Traditionally, finite element methods generate progressively higher order accurate solutions by use ...
This paper explores the implementation of adaptive mesh refinement in an unstructured, finite-volume...
The present work illustrates a method for numerical resolution of partial differential equations bas...
High-order accurate methods have the potential to dramatically reduce the computational time needed ...
High-order numerical methods for unstructured grids combine the superior accuracy of high-order spec...
2022 Summer.Includes bibliographical references.Computational fluid dynamics (CFD) is an invaluable ...
This dissertation contains several approaches to resolve irregularity issues of CFD problems, includ...
This paper is concerned with the application of k-exact finite volume methods for compressible Reyno...
Understanding the motion of fluids is crucial for the development and analysis of new designs and p...
Enviado a "Computer methods in applied mechanics and engineering"[Abstract] This paper introduces th...
University of Minnesota Ph.D. dissertation. August 2015. Major: Aerospace Engineering and Mechanics....
This paper is concerned with the application of k-exact finite volume methods for compressible Reyno...
A novel high-order finite volume scheme using flux correction methods in conjunction with structured...
We describe the implementation of a computational fluid dynamics solver for the simulation of high-s...
Aceptado para su publicación en International journal for numerical methods in engineering, el 08/06...
Traditionally, finite element methods generate progressively higher order accurate solutions by use ...
This paper explores the implementation of adaptive mesh refinement in an unstructured, finite-volume...
The present work illustrates a method for numerical resolution of partial differential equations bas...
High-order accurate methods have the potential to dramatically reduce the computational time needed ...