Advanced electromagnetic models for materials characterization and nondestructive evaluation / Harold A. Sabbagh, R. Kim Murphy, Elias H. Sabbagh, Liming Zhou, Russell Wincheski.
Sabbagh, Harold A.; Murphy, R. Kim.; Sabbagh, Elias H.; Zhou, Liming.; Wincheski, Russell.
2021
TA417.2
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Advanced electromagnetic models for materials characterization and nondestructive evaluation / Harold A. Sabbagh, R. Kim Murphy, Elias H. Sabbagh, Liming Zhou, Russell Wincheski.
Author Sabbagh, Harold A.
ISBN 9783030679569 (electronic bk.)
303067956X (electronic bk.)
9783030679545
3030679543
DOI https://doi.org/10.1007/978-3-030-67956-9
Imprint Cham : Springer, 2021.
Language English
Description 1 online resource (353 pages)
Other Standard Identifiers 10.1007/978-3-030-67956-9 doi
Call Number TA417.2
Dewey Decimal Classification 620.1/127
Summary This book expands on the subject matter of Computational Electromagnetics and Model-Based Inversion: A Modern Paradigm for Eddy-Current Nondestructive Evaluation. It includes (a) voxel-based inversion methods, which are generalizations of model-based algorithms; (b) a complete electromagnetic model of advanced composites (and other novel exotic materials), stressing the highly anisotropic nature of these materials, as well as giving a number of applications to nondestructive evaluation; and (c) an up-to-date discussion of stochastic integral equations and propagation-of-uncertainty models in nondestructive evaluation. As such, the book combines research started twenty-five years ago in advanced composites and voxel-based algorithms, but published in scattered journal articles, as well as recent research in stochastic integral equations. All of these areas are of considerable interest to the aerospace, nuclear power, civil infrastructure, materials characterization and biomedical industries. The book covers the topic of computational electromagnetics in eddy-current nondestructive evaluation (NDE) by emphasizing three distinct topics: (a) fundamental mathematical principles of volume-integral equations as a subset of computational electromagnetics, (b) mathematical algorithms applied to signal-processing and inverse scattering problems, and (c) applications of these two topics to problems in which real and model data are used. It is therefore more than an academic exercise and is valuable to users of eddy-current NDE technology in industries as varied as nuclear power, aerospace, materials characterization and biomedical imaging.
Note 7.10 Probability of Detection and the Chebychev Inequality.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed April 5, 2021).
Added Author Murphy, R. Kim.
Sabbagh, Elias H.
Zhou, Liming.
Wincheski, Russell.
Series Scientific computation.
Available in Other Form Advanced Electromagnetic Models for Materials Characterization and Nondestructive Evaluation.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Intro
Preface
Acknowledgments
Contents
Part I Voxel-Based Inversion Algorithms
1 A Bilinear Conjugate-Gradient Inversion Algorithm
1.1 Optimization via Nonlinear Least-Squares
1.2 A Bilinear Conjugate-Gradient Inversion Algorithm Using Volume-Integrals
1.3 The Algorithm
1.4 Example: Raster Scan at Three Frequencies
2 Voxel-Based Inversion Via Set-Theoretic Estimation
2.1 The Electromagnetic Model Equations
2.2 Set-Theoretic Estimation
2.3 Statistical Analysis of the Feasible Set
2.4 A Layer-Stripping Algorithm

2.5 Some Examples of the Inversion Algorithm
2.6 Application to Aircraft Structures
Part II Materials Characterization
3 Modeling Composite Structures
3.1 Background
3.2 Constitutive Relations for Advanced Composites
3.3 Example Calculations Using VIC-3D®
3.4 A Coupled-Circuit Model of Maxwell's Equations
3.5 Eddy-Current Detection of Prepreg FAWT
3.6 An Anisotropic Inverse Problem for Measuring FAWT
3.6.1 Return to an Analysis of Fig. 3.10
3.7 Further Results for Permittivity
3.8 Comments and Conclusions
3.9 Eigenmodes of Anisotropic Media

3.10 Computing a Green's Function for a Layered Workpiece
3.11 An Example of the Multilayer Model
3.12 A Bulk Model
4 Application of the Set-Theoretic Algorithm to CFRP's
4.1 Background
4.2 Statistical Analysis of the Feasible Set
4.3 An Anisotropic Inverse Problem for Measuring FAWT
4.3.1 First Set-Theoretic Result
4.3.2 Second Set-Theoretic Result
4.3.3 Comment
4.4 Modeling Microstructure Quantification Problems
4.4.1 Delaminations
4.4.2 Transverse Ply with Microcrack
4.5 Layer-Stripping for Anisotropic Flaws

4.6 Advanced Features for Set-Theoretic Microstructure Quantification
4.6.1 A Heuristic Iterative Scheme to Determine a Zero-Cutoff Threshold
4.7 Progress in Modeling Microstructure Quantification
4.8 Handling Rotations of Anisotropic Media
5 An Electromagnetic Model for Anisotropic Media: Green's Dyad for Plane-Layered Media
5.1 Theory
5.2 Applications
5.3 Some Inverse Problems with Random Anisotropies
5.4 Detectability of Flaws in Anisotropic Media: Application to Ti64
6 Stochastic Inverse Problems: Models and Metrics
6.1 Introducing the Problem

6.2 NLSE: Nonlinear Least-Squares Parameter Estimation
6.3 Confidence Levels: Stochastic Global Optimization
6.4 Summary
7 Integration of Functionals, PCM and Stochastic IntegralEquations
7.1 Theoretical Background
7.2 Probability Densities and Numerical Procedures
7.3 Second-Order Random Functions
7.4 A One-Dimensional Random Surface
7.5 gPC and PCM
7.6 HDMR and ANOVA
7.7 Determining the ANOVA Anchor Point
7.8 Interpolation Theory Using Splines Based Upon Higher-Order Convolutions of the Unit Pulse
7.9 Two-Dimensional Functions

Browse Subjects

Show more subjects...

Statistics

from
to
Export