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High-order finite element methods fo...

The University of Texas at Austin., Computational and Applied Mathematics.

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High-order finite element methods for seismic wave propagation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	High-order finite element methods for seismic wave propagation./
作者:	De Basabe Delgado, Jonas de Dios.
面頁冊數:	153 p.
附註:	Advisers: Mrinal K. Sen; Mary F. Wheeler.
Contained By:	Dissertation Abstracts International70-05B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3359112
ISBN:	9781109187700

High-order finite element methods for seismic wave propagation.
De Basabe Delgado, Jonas de Dios.

High-order finite element methods for seismic wave propagation. - 153 p.

Advisers: Mrinal K. Sen; Mary F. Wheeler.

Thesis (Ph.D.)--The University of Texas at Austin, 2009.

Purely numerical methods based on the Finite Element Method (FEM) are becoming increasingly popular in seismic modeling for the propagation of acoustic and elastic waves in geophysical models. These methods offer a better control on the accuracy and more geometrical flexibility than the Finite Difference methods that have been traditionally used for the generation of synthetic seismograms. However, the success of these methods has outpaced their analytic validation. The accuracy of the FEMs used for seismic wave propagation is unknown in most cases and therefore the simulation parameters in numerical experiments are determined by empirical rules. I focus on two methods that are particularly suited for seismic modeling: the Spectral Element Method (SEM) and the Interior-Penalty Discontinuous Galerkin Method (IP-DGM).

ISBN: 9781109187700Subjects--Topical Terms:

626642
Computer Science.

High-order finite element methods for seismic wave propagation.
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245 1 0 $a High-order finite element methods for seismic wave propagation.
300 $a 153 p.
500 $a Advisers: Mrinal K. Sen; Mary F. Wheeler.
500 $a Includes supplementary digital materials.
500 $a Source: Dissertation Abstracts International, Volume: 70-05, Section: B, page: .
502 $a Thesis (Ph.D.)--The University of Texas at Austin, 2009.
520 $a Purely numerical methods based on the Finite Element Method (FEM) are becoming increasingly popular in seismic modeling for the propagation of acoustic and elastic waves in geophysical models. These methods offer a better control on the accuracy and more geometrical flexibility than the Finite Difference methods that have been traditionally used for the generation of synthetic seismograms. However, the success of these methods has outpaced their analytic validation. The accuracy of the FEMs used for seismic wave propagation is unknown in most cases and therefore the simulation parameters in numerical experiments are determined by empirical rules. I focus on two methods that are particularly suited for seismic modeling: the Spectral Element Method (SEM) and the Interior-Penalty Discontinuous Galerkin Method (IP-DGM).
520 $a The goals of this research are to investigate the grid dispersion and stability of SEM and IP-DGM, to implement these methods and to apply them to subsurface models to obtain synthetic seismograms. In order to analyze the grid dispersion and stability, I use the von Neumann method (plane wave analysis) to obtain a generalized eigenvalue problem. I show that the eigenvalues are related to the grid dispersion and that, with certain assumptions, the size of the eigenvalue problem can be reduced from the total number of degrees of freedom to one proportional to the number of degrees of freedom inside one element.
520 $a The grid dispersion results indicate that SEM of degree greater than 4 is isotropic and has a very low dispersion. Similar dispersion properties are observed for the symmetric formulation of IP-DGM of degree greater than 4 using nodal basis functions. The low dispersion of these methods allows for a sampling ratio of 4 nodes per wavelength to be used. On the other hand, the stability analysis shows that, in the elastic case, the size of the time step required in IP-DGM is approximately 6 times smaller than that of SEM. The results from the analysis are confirmed by numerical experiments performed using an implementation of these methods. The methods are tested using two benchmarks: Lamb's problems and the SEG/EAGE salt dome model.
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