796 research outputs found
Exploiting Superconvergence Through Smoothness-Increasing Accuracy-Conserving (SIAC) Filtering
There has been much work in the area of superconvergent error analysis for finite element and discontinuous Galerkin (DG) methods. The property of superconvergence leads to the question of how to exploit this information in a useful manner, mainly through superconvergence extraction. There are many methods used for superconvergence extraction such as projection, interpolation, patch recovery and B-spline convolution filters. This last method falls under the class of Smoothness-Increasing Accuracy-Conserving (SIAC) filters. It has the advantage of improving both smoothness and accuracy of the approximation. Specifically, for linear hyperbolic equations it can improve the order of accuracy of a DG approximation from k + 1 to 2k + 1, where k is the highest degree polynomial used in the approximation, and can increase the smoothness to k − 1. In this article, we discuss the importance of overcoming the mathematical barriers in making superconvergence extraction techniques useful for applications, specifically focusing on SIAC filtering
A Three-Dimensional Recovery-Based Discontinuous Galerkin Method for Turbulence Simulations
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106503/1/AIAA2013-515.pd
Computing parametrized solutions for plasmonic nanogap structures
The interaction of electromagnetic waves with metallic nanostructures
generates resonant oscillations of the conduction-band electrons at the metal
surface. These resonances can lead to large enhancements of the incident field
and to the confinement of light to small regions, typically several orders of
magnitude smaller than the incident wavelength. The accurate prediction of
these resonances entails several challenges. Small geometric variations in the
plasmonic structure may lead to large variations in the electromagnetic field
responses. Furthermore, the material parameters that characterize the optical
behavior of metals at the nanoscale need to be determined experimentally and
are consequently subject to measurement errors. It then becomes essential that
any predictive tool for the simulation and design of plasmonic structures
accounts for fabrication tolerances and measurement uncertainties.
In this paper, we develop a reduced order modeling framework that is capable
of real-time accurate electromagnetic responses of plasmonic nanogap structures
for a wide range of geometry and material parameters. The main ingredients of
the proposed method are: (i) the hybridizable discontinuous Galerkin method to
numerically solve the equations governing electromagnetic wave propagation in
dielectric and metallic media, (ii) a reference domain formulation of the
time-harmonic Maxwell's equations to account for geometry variations; and (iii)
proper orthogonal decomposition and empirical interpolation techniques to
construct an efficient reduced model. To demonstrate effectiveness of the
models developed, we analyze geometry sensitivities and explore optimal designs
of a 3D periodic annular nanogap structure.Comment: 28 pages, 9 figures, 4 tables, 2 appendice
A nested hybridizable discontinuous Galerkin method for computing second-harmonic generation in three-dimensional metallic nanostructures
In this paper, we develop a nested hybridizable discontinuous Galerkin (HDG)
method to numerically solve the Maxwell's equations coupled with the
hydrodynamic model for the conduction-band electrons in metals. By means of a
static condensation to eliminate the degrees of freedom of the approximate
solution defined in the elements, the HDG method yields a linear system in
terms of the degrees of freedom of the approximate trace defined on the element
boundaries. Furthermore, we propose to reorder these degrees of freedom so that
the linear system accommodates a second static condensation to eliminate a
large portion of the degrees of freedom of the approximate trace, thereby
yielding a much smaller linear system. For the particular metallic structures
considered in this paper, the resulting linear system obtained by means of
nested static condensations is a block tridiagonal system, which can be solved
efficiently. We apply the nested HDG method to compute the second harmonic
generation (SHG) on a triangular coaxial periodic nanogap structure. This
nonlinear optics phenomenon features rapid field variations and extreme
boundary-layer structures that span multiple length scales. Numerical results
show that the ability to identify structures which exhibit resonances at
and is paramount to excite the second harmonic response.Comment: 31 pages, 7 figure
Analysis of enhanced mixing by natural and forced convection with application to chemical reactor design
We looked for new designs to enhance mixing on catalytic chemical reactors. Two models were proposed. The first one, used forced convection as the mixing enhancer and consisted of a stack of corotating disks with the catalytic coating on their surface and which were enclosed in a cilyndrical cavity. Two operation modes were studied for this type of reactor, discontinuous and semicontinuous one. In the semicontinuous mode a flux is fed to the reactor through the external wall. This configuration showed good efficiency compared to other type of reactors. The second model proposed used natural convection as the mixing enhancer. In this case a cubical cavity which had the catalytic surface on the bottom wall, was heated from below which activated the convection in the system leading to the mixing of the fluid in it. It was seen efficiency is determined by flow and mass transfer within boundary layers regions.Se buscaron nuevos diseños que aumentaran el mezclado en reactores catalÃticos. Dos modelos fueron propuestos. El primero, usó convección forzada como el impulsor del mezclado y consistÃa de una pila de discos corotatorios con el catalizador en sus superficies y los cuales se encontraban dentro de una cavidad cilÃndrica. Dos modos de operación fueron estudiados para este tipo de reactor, discontinuo y semicontinuo. En el modo semicontinuo se alimentó un flujo al reactor mediante la pared exterior. Esta configuración mostró una buena eficiencia comparado con otro tipo de reactores. El segundo modelo propuesto usó la convección natural como el impulsor del mezclado. En este caso una cavidad cúbica que tenÃa el catalizador en su pared inferior, fue calentada por debajo, lo que activaba la convección en el sistema llevando al mezclado del fluido en el mismo. La eficiencia es determinada por la transferencia de flujo y masa dentro de las regiones de capa lÃmite
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