Mathematical Methods in Elasticity Imaging (Princeton Series in Applied Mathematics) - Hardcover

Buch 26 von 33: Princeton Series in Applied Mathematics

Ammari, Habib; Bretin, Elie; Garnier, Josselin; Kang, Hyeonbae; Lee, Hyundae

 
9780691165318: Mathematical Methods in Elasticity Imaging (Princeton Series in Applied Mathematics)

Inhaltsangabe

This book is the first to comprehensively explore elasticity imaging and examines recent, important developments in asymptotic imaging, modeling, and analysis of deterministic and stochastic elastic wave propagation phenomena. It derives the best possible functional images for small inclusions and cracks within the context of stability and resolution, and introduces a topological derivative–based imaging framework for detecting elastic inclusions in the time-harmonic regime. For imaging extended elastic inclusions, accurate optimal control methodologies are designed and the effects of uncertainties of the geometric or physical parameters on stability and resolution properties are evaluated. In particular, the book shows how localized damage to a mechanical structure affects its dynamic characteristics, and how measured eigenparameters are linked to elastic inclusion or crack location, orientation, and size. Demonstrating a novel method for identifying, locating, and estimating inclusions and cracks in elastic structures, the book opens possibilities for a mathematical and numerical framework for elasticity imaging of nanoparticles and cellular structures.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

Habib Ammari is director of research at the French National Center for Scientific Research and professor of mathematics at the École Normale Superiéure. Elie Bretin is a postdoctoral researcher in mathematics at the École Polytechnique. Josselin Garnier is professor of mathematics at Université Paris VII. Hyeonbae Kang is the Jungseok Chair Professor of Mathematics at Inha University in South Korea. Hyundae Lee is assistant professor of mathematics at Inha University. Abdul Wahab is a postdoctoral researcher in mathematics at Université Paris VII.

Von der hinteren Coverseite

"This book covers recent mathematical, numerical, and statistical approaches for elasticity imaging of inclusions and cracks. A precise and timely book, it is easy to follow and will interest readers."--Yanyan Li, Rutgers University

"This book is the first to provide readers with a comprehensive overview of mathematical and computational studies of elasticity imaging. It is a useful resource for scientists and engineers in the relevant fields and a solid reference for any newcomers to elasticity imaging."--Gang Bao, Zhejiang University

"This well-organized book explains recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. It makes an important contribution to the understanding of trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution in multistatic imaging."--Jin Keun Seo, Yonsei University

Aus dem Klappentext

"This book covers recent mathematical, numerical, and statistical approaches for elasticity imaging of inclusions and cracks. A precise and timely book, it is easy to follow and will interest readers."--Yanyan Li, Rutgers University

"This book is the first to provide readers with a comprehensive overview of mathematical and computational studies of elasticity imaging. It is a useful resource for scientists and engineers in the relevant fields and a solid reference for any newcomers to elasticity imaging."--Gang Bao, Zhejiang University

"This well-organized book explains recent mathematical, numerical, and statistical approaches for multistatic imaging of targets with waves at single or multiple frequencies. It makes an important contribution to the understanding of trade-offs between data size, computational complexity, signal-to-noise ratio, and resolution in multistatic imaging."--Jin Keun Seo, Yonsei University

Auszug. © Genehmigter Nachdruck. Alle Rechte vorbehalten.

Mathematical Methods in Elasticity Imaging

By Habib Ammari, Elie Bretin, Josselin Garnier, Hyeonbae Kang, Hyundae Lee, Abdul Wahab

PRINCETON UNIVERSITY PRESS

Copyright © 2015 Princeton University Press
All rights reserved.
ISBN: 978-0-691-16531-8

Contents

Introduction, 1,
1 Layer Potential Techniques, 4,
2 Elasticity Equations with High Contrast Parameters, 33,
3 Small-Volume Expansions of the Displacement Fields, 48,
4 Boundary Perturbations due to the Presence of Small Cracks, 66,
5 Backpropagation and Multiple Signal Classification Imaging of Small Inclusions, 80,
6 Topological Derivative Based Imaging of Small Inclusions in the Time-Harmonic Regime, 91,
7 Stability of Topological Derivative Based Imaging Functionals, 112,
8 Time-Reversal Imaging of Extended Source Terms, 125,
9 Optimal Control Imaging of Extended Inclusions, 148,
10 Imaging from Internal Data, 160,
11 Vibration Testing, 168,
A Introduction to Random Processes, 201,
B Asymptotics of the Attenuation Operator, 210,
C The Generalized Argument Principle and Rouche's Theorem, 213,
References, 217,
Index, 229,


CHAPTER 1

Layer Potential Techniques


The asymptotic theory for elasticity imaging described in this book relies on layer potential techniques. In this chapter we prepare the way by reviewing a number of basic facts and preliminary results regarding the layer potentials associated with both the static and time-harmonic elasticity systems. The most important results in this chapter are on one hand the decomposition formulas for the solutions to transmission problems in elasticity and characterization of eigenvalues of the elasticity system as characteristic values of layer potentials and on the other hand, the Helmholtz-Kirchhoff identities. As will be shown later, the Helmholtz-Kirchhoff identities play a key role in the analysis of resolution in elastic wave imaging. We also note that when dealing with exterior problems for harmonic elasticity, one should introduce a radiation condition, known as the Sommerfeld radiation condition, in order to select the physical solution to the problem.

This chapter is organized as follows. In Section 1.1 we first review commonly used function spaces. Then we introduce in Section 1.2 equations of linear elasticity and use the Helmholtz decomposition theorem to decompose the displacement field into the sum of an irrotational (curl-free) and a solenoidal (divergence-free) field. Section 1.3 is devoted to the radiation condition for the time-harmonic elastic waves, which is used to select the physical solution to exterior problems. In Section 1.4 we introduce the layer potentials associated with the operators of static and time-harmonic elasticity, study their mapping properties, and prove decomposition formulas for the displacement fields. In Section 1.5 we derive the Helmholtz-Kirchhoff identities, which play a key role in the resolution analysis in Chapters 7 and 8. In Section 1.6 we characterize the eigenvalues of the elasticity operator on a bounded domain with Neumann or Dirichlet boundary conditions as the characteristic values of certain layer potentials which are meromorphic operator-valued functions. We also introduce Neumann and Dirichlet functions and write their spectral decompositions. These results will be used in Chapter 11. Finally, in Section 1.7 we state a generalization of Meyer's theorem concerning the regularity of solutions to the equations of linear elasticity, which will be needed in Chapter 11 in order to establish an asymptotic theory of eigenvalue elastic problems.


1.1 SOBOLEV SPACES

Throughout the book, symbols of scalar quantities are printed in italic type, symbols of vectors are printed in bold italic type, symbols of matrices or 2-tensors are printed in bold type, and symbols of 4-tensors are printed in blackboard bold type.

The following Sobolev spaces are needed for the study of mapping properties of layer potentials for elasticity equations.

Let [partial derivative]i denote [partial derivative]/[partial derivative]xi. We use [nabla] = ([partial derivative]i)di=1 and [partial derivative]2 = ([partial derivative]2ij))di,j=1 to denote the gradient and the Hessian, respectively.

Let Ω be a smooth domain in Rd, with d = 2 or 3. We define the Hilbert space H1(Ω) by

H1(Ω) = {u [member of] L2(Ω) : [nabla]u [member of] L2(Ω)},


where [nabla]u is interpreted as a distribution and L2(Ω) is defined in the usual way, with

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]


The space H1(Ω) is equipped with the norm

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].


If Ω is bounded, another Banach space H10(Ω) arises by taking the closure of C∞0(Ω), the set of infinitely differentiable functions with compact support in Ω, in H1(Ω). We will also need the space H1loc(Rd\[bar.Ω]) of functions u [member of] L2loc(Rd\[bar.Ω]), the set of locally square summable functions in Rd\[bar.Ω], such that

h u [member of] H1 (Rd\[bar.Ω]) [for all] h [member of] C∞0(Rd\[bar.Ω].


Furthermore, we define H2(Ω) as the space of functions u [member of] H1(Ω) such that [partial derivative]2ij u [member of] L2(Ω), for i, j = 1, ..., d, and the space H3/2(Ω) as the interpolation space [H1(Ω), H2(Ω)]1/2 (see, for example, the book by Bergh and Löfström [49]).

It is known that the trace operator [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] is a bounded linear surjective operator from H1(Ω) into H1/2([partial derivative]Ω), where H1/2([partial derivative]Ω) is the collection of functions f [member of] L2([partial derivative]Ω) such that

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]


We set H-1/2([partial derivative]Ω) = (H1/2([partial derivative]Ω))* and let < , >1/2, -1/2 denote the duality pair between these dual spaces.

We introduce a weighted norm, [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII], in two dimensions. Let

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (1.1)


This weighted norm is introduced because, as will be shown later, the solutions of the static elasticity equation behave like O(|x|-1) in two dimensions as |x| -> ∞. For convenience, we set

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII] (1.2)


In three dimensions, W(Rd\[bar.Ω]) is the usual Sobolev space.

We also define the Banach space W1,∞(Ω) by

W1,∞(Ω) = {u [member of] L∞(Ω) : [nabla]u [member of] L∞(Ω) (1.3)


where [nabla]u is interpreted as a distribution and L∞(Ω) is defined in the usual way, with

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].


We will need the following Hilbert spaces for deriving the Helmholtz decomposition theorem

Hcurl(Ω):= {u [member of] L2(Ω)d, [nabla] × u [member of] L2 (Ω)d},


equipped with the norm

[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII],


and

Hdiv(Ω) := {u [member of] L2(Ω)d, [nabla] · u [member of]...

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.