國立虎尾科技大學 |

On the Forward and Inverse Computational Wave Propagation Problems.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	On the Forward and Inverse Computational Wave Propagation Problems./
Author:	Vaziri Astaneh, Ali.
Description:	1 online resource (214 pages)
Notes:	Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
Contained By:	Dissertation Abstracts International78-08B(E).
Subject:	Civil engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9781369622645

On the Forward and Inverse Computational Wave Propagation Problems.
Vaziri Astaneh, Ali.

On the Forward and Inverse Computational Wave Propagation Problems. - 1 online resource (214 pages)

Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

This dissertation provides efficient algorithms for forward and inverse modeling of wave propagation problems. The presented methods are verified with synthetic examples and validated with real-life experiments in near surface imaging and nondestructive testing applications.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369622645Subjects--Topical Terms:

561339
Civil engineering.
Index Terms--Genre/Form:

554714
Electronic books.

On the Forward and Inverse Computational Wave Propagation Problems.
LDR:03394ntm a2200397Ki 4500 001 909846
005 20180426091048.5
006 m o u
007 cr mn||||a|a||
008 190606s2016 xx obm 000 0 eng d
020 $a 9781369622645
035 $a (MiAaPQ)AAI10583585
035 $a AAI10583585
040 $a MiAaPQ $b eng $c MiAaPQ
099 $a TUL $f hyy $c available through World Wide Web
100 1 $a Vaziri Astaneh, Ali. $3 1180819
245 1 0 $a On the Forward and Inverse Computational Wave Propagation Problems.
264 0 $c 2016
300 $a 1 online resource (214 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 78-08(E), Section: B.
500 $a Adviser: Murthy N. Guddati.
502 $a Thesis (Ph.D.) $c North Carolina State University $d 2016.
504 $a Includes bibliographical references
520 $a This dissertation provides efficient algorithms for forward and inverse modeling of wave propagation problems. The presented methods are verified with synthetic examples and validated with real-life experiments in near surface imaging and nondestructive testing applications.
520 $a First, we study the dispersion analysis of guided waves in the layered waveguides and half-spaces which involves solution of eigenvalue problems. This mathematical model is often used in applications such as near surface imaging, pavement structures characterization and thickness gauging of pipelines. We apply the new discretization technique termed Complex- Length Finite Element Method (CFEM) which increases the efficiency of forward modeling for such piecewise homogenous media, thus reducing the computational cost of associated inverse problems that rely on multiple forward solves.
520 $a Second, we consider the near surface imaging problem and propose an approximate analytical gradient that facilitates more efficient inversion using surface waves. We show that the improvements in both venues, i.e. forward modeling and inversion scheme, leads to an order-of-magnitude reduction in computational cost.
520 $a Third, we focus on efficient simulation of immersed waveguides and propose the use of Perfectly Matched Discrete Layer (PMDL) for modeling the surrounding fluid. Immersed plates, fluid-filled pipes and immersed waveguides with arbitrary cross-section are considered and the guidelines for choosing the discretization parameters are provided. Numerical examples demonstrate the increased efficacy in obtaining the dispersion characteristics.
520 $a Finally, we explore large-scale problems governed by the Helmholtz equation that can be practically solved only through parallel computation. These problems often involve oscillating solutions that pose issues in the performance and scalability of parallel solvers. We propose an improved domain decomposition technique as a preconditioner for iterative solvers, which accelerates the solution convergence compared to existing methods.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Civil engineering. $3 561339
650 4 $a Geophysics. $3 686174
650 4 $a Applied mathematics. $3 1069907
655 7 $a Electronic books. $2 local $3 554714
690 $a 0543
690 $a 0373
690 $a 0364
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a North Carolina State University. $3 845424
773 0 $t Dissertation Abstracts International $g 78-08B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10583585 $z click for full text (PQDT)