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A Data Engineering Approach to Wave Scattering Analysis with Applications in Radar, Sonar, Medical Diagnostics, Structural Flaw Detection and Intelligent Robotics

Mark K. Hinders (College of William & Mary, VA, USA)

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English
Wiley-IEEE Press
02 December 2024
Comprehensive resource exploring how recent advancements in computational capabilities open doors to new applications in wave scattering

A Data Engineering Approach to Wave Scattering Analysis: with Applications in Radar, Sonar, Medical Diagnostics, Structural Flaw Detection and Intelligent Robotics applies scattering analysis to many applications including radar, sonar, medical diagnosis, intelligent robotics, and more, enabling readers to implement new and better measurements with both novel instrumentation and artificial intelligence that automates the interpretation of various (and multiple) imaging data streams. Composed of 10 chapters, this book brings together separate scientific topics that share a common basis of knowledge and their unchanged mathematical techniques to ensure successful results.

Through periodic exercises, this book reinforces the importance of revisiting derivations and reproducing established results. It also delves into the individuals who shaped scientific methods and technologies, exploring 81 notable names and providing insights into their professional journeys.

Classic results from scattering are included in each chapter, and rather than simply pasting in plots from classic papers, these results have largely been reproduced for a more coherent reader experience.

Written by an established academic in the field, A Data Engineering Approach to Wave Scattering Analysis: with Applications in Radar, Sonar, Medical Diagnostics, Structural Flaw Detection and Intelligent Robotics includes information on various topics:

Field equations, covering strain as a dimensionless measure of deformation, generalized Hooke’s Law, and elastic and acoustic waves Reflection and refraction, covering reflection from a free surface and surface waves as well as the wave model of acoustic microscopy Guided waves, covering torsional modes, longitudinal waves, and flexural waves in rods, as well as data engineering for lamb wave tomography Inverse scattering, covering wavelet transforms and fingerprinting as well as applications of wavelet fingerprints such as roof fall detection

A Data Engineering Approach to Wave Scattering Analysis: with Applications in Radar, Sonar, Medical Diagnostics, Structural Flaw Detection and Intelligent Robotics is an essential up-to-date reference on the subject for researchers interested in radar, sonar, medical imaging, structural health monitoring, manufacturing process control, and autonomous vehicles, as well as upper-level undergraduates and graduate students in related programs of study.
By:  
Imprint:   Wiley-IEEE Press
Country of Publication:   United States
Weight:   998g
ISBN:   9781394271221
ISBN 10:   1394271220
Pages:   368
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
About the Author xi Preface xiii Acknowledgments xv Introduction xvii 1 Background 1 1.1 Some History 1 1.1.1 The Titanic Disaster 1 1.1.2 Das Unterseeboot 2 1.1.3 Aircraft Detection 4 1.1.4 Medical Ultrasonography and NDE 6 1.2 Ultrasound Immersion Tank Scans 9 1.3 A-, B-, C-Scans, M-Mode 14 1.4 Monostatic, Bistatic, Doppler 19 1.5 Didey Wagon vs. War Wagon 21 1.6 Acoustic Parametric Arrays 28 1.7 Forward to Scattering 30 References 31 2 Field Equations 35 2.1 Index Notation 35 2.2 Stress Is Force per Unit Area 37 2.2.1 Two-Question Pop Quiz, Pass–Fail 37 2.3 Strain Is Dimensionless 42 2.4 Stress Is Proportional to Strain 45 2.5 Elastic Waves 47 2.6 Electromagnetic Waves 50 2.7 Acoustic Waves 52 2.8 Anisotropic Elastic Solids 53 2.9 Summary 57 3 Boundary Conditions: Continuous and Discretized 61 3.1 Boundary Conditions for E&M 61 3.2 Boundary Conditions for Acoustics 62 3.3 Boundary Conditions for Elastodynamics 65 3.4 Finite Difference Time Domain 67 3.5 Elastodynamic Simulations 79 3.6 The Acoustic Parametric Array 82 References 87 4 Reflection and Refraction 93 4.1 Reflection from a Free Surface 101 4.2 Surface Waves 105 4.3 Acoustic Microscopy 109 4.3.1 V(z) Curves 112 4.3.2 Wave Model of Acoustic Microscopy 115 4.3.3 Detecting Cracks in Teeth 118 4.3.4 Inspection of V22 Hydraulic Lines 121 References 122 5 Guided Waves 125 5.1 Guided Waves in Plates 127 5.2 Cylindrical Guided Waves 135 5.2.1 Torsional Modes in a Rod 139 5.2.2 Longitudinal Waves in a Rod 139 5.2.3 Flexural Waves in a Rod 140 5.3 Guided Waves in Pipes 142 5.4 Data Engineering for Tomography 144 5.4.1 Tomography Overview 148 5.4.2 Fan Beam Tomography 149 5.4.3 Double Crosshole Tomography 150 5.4.4 Arrival Time Determination 153 5.4.5 Curvilinear SIRT 160 References 163 6 Scattering from Spheres 167 6.1 Clebsch–Mie Scattering 167 6.2 Acoustic Scattering from a Sphere 181 6.3 Elastic Wave Sphere Scattering 192 6.4 Incident Transverse Wave 199 6.5 Scattering from Spherical Shells 204 References 207 7 Scattering from Cylinders 209 7.1 Electromagnetic Wave Scattering 209 7.1.1 Incident E-Field Parallel to the xz-Plane 212 7.1.2 Incident E-Field Perpendicular to the xz-Plane 214 7.2 Elastic Wave Scattering 217 7.2.1 Scattering Due to an Incident L-Wave 220 7.2.2 Scattering of Acoustic Waves from an Elastic Cylinder 224 7.2.3 Scattering Due to an Incident T-Wave 227 7.2.3.1 Scattering from an Acoustic Cylinder 231 7.2.4 Limiting Cases 233 7.3 Plate Wave Scattering 237 7.3.1 Flexural Wave Scattering from Cylinders 240 7.3.2 Dilatational Wave Scattering 242 7.4 Thermal “Wave” Scattering 246 7.5 Scattering from a Semicircular Gap in a Ground Plane 248 References 256 8 Scattering from Spheroids and Elliptic Cylinders 259 8.1 Scalar Wave Equation in Elliptic Cylinder Coordinates 260 8.1.1 Separation of Variables 263 8.2 Scattering from a Perfectly-Conducting Elliptic Cylinder 264 8.3 Scattering from a Dielectric Elliptic Cylinder 268 8.3.1 Important Tea About Orthogonality 269 8.3.2 Numerical Implementation of Mathieu Functions 276 8.4 Scattering of Elastic Waves by an Elliptic Cylindrical Inclusion 277 8.5 Scattering from Spheroids 281 References 288 9 Scattering from Parallelepipeds 289 9.1 Integral Equations 289 9.2 High Frequency Scattering and Diffraction Coefficients 295 9.3 Reflection/Transmission by a Slab 311 9.4 Reflection at Conducting Halfspace 314 9.5 Surface Plasmon Polaritons 317 References 321 10 Inverse Scattering 325 10.1 Wavelet Fingerprinting 329 10.2 Wavelet Fingerprints Applied 331 10.2.1 Roof Fall Detection 331 10.2.2 RF Scattering from a Food Truck 334 10.2.3 Time Domain Reflectometry 335 10.2.4 Counterfeit Routers 337 10.2.5 Bladder Distension Monitor 337 10.2.6 RF Occlusion by Building 339 10.3 Conclusions 341 Index 347

Mark K. Hinders is Professor of Applied Science at the College of William & Mary in Virginia and holds a PhD in Aerospace and Mechanical Engineering from Boston University, USA. Before coming to Williamsburg in 1993, Professor Hinders was Senior Scientist at Massachusetts Technological Laboratory, Inc., and also Research Assistant Professor at Boston University. Professor Hinders conducts research in wave propagation and scattering phenomena applied to medical imaging, intelligent robotics, security screening, remote sensing, and nondestructive evaluation.

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