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Higher Order Basis Based Integral Equation Solver (HOBBIES) - ISBN 9781118140659

Higher Order Basis Based Integral Equation Solver (HOBBIES)

ISBN 9781118140659

Autor: Yunong Zhang, Tapan K. Sarkar, Xunwang Zhao, Daniel Garcia–Donoro, Weixin Zhao, Magdalena Salazar

Wydawca: Wiley

Dostępność: 3-6 tygodni

Cena: 1 047,90 zł

Przed złożeniem zamówienia prosimy o kontakt mailowy celem potwierdzenia ceny.


ISBN13:      

9781118140659

ISBN10:      

1118140656

Autor:      

Yunong Zhang, Tapan K. Sarkar, Xunwang Zhao, Daniel Garcia–Donoro, Weixin Zhao, Magdalena Salazar

Oprawa:      

Hardback

Rok Wydania:      

2012-06-29

Ilość stron:      

568

Wymiary:      

242x164

Tematy:      

TJ

The latest in parallel EM solutions with both in–core and out–of–core solvers

The solution of complex electromagnetic (EM) problems requires one to address the issues related with numerical accuracy and efficient distribution of the solution procedure over multiple computational nodes. With the advent of multicore processors and high performance computing (HPC) technology, the EM software designers need to know how to add new functionality to computational EM codes so that they can run efficiently on these new processors.

Higher Order Basis Based Integral Equation Solver [HOBBIES] presents a road map for the analysis of complex material structures using the high–performance parallel simulation software known as HOBBIES. Focusing on the Method of Moments (MoM), the book features new parallel programming techniques and user–friendly code with superior capabilities for solving challenging EM radiation and scattering problems. It provides readers with complete guidance on how to extend the capability of MoM and achieve faster and more accurate EM analysis and utilize multicore CPUs on desktop computers. Complete with an academic version of the HOBBIES software, this book:

Explains the unique features of the higher order basis functions in the solution of integral equations in a MoM context Shows how to generate a properly load balanced parallel computational procedure for MoM matrix filling and matrix equation solving in both in–core and out–of–core implementation Presents a professional graphical users interface (GUI) for generating the geometrical structure based on NURBS modeling Illustrates various automatic meshing procedures based on an a–priori defined error between the actual geometry and the meshed structure Outlines all the key features of the HOBBIES software, including multiple optimization procedures for EM synthesis

The bottleneck of traditional MoM arises from the lack of memory in computers for solution of large problems. This is mitigated by using higher order basis functions and out–of–core solver in HOBBIES. HOBBIES has the capability to perform numerically accurate EM simulations using thousands of CPU cores in an HPC environment using a properly load balanced out–of–core solver. In this way, it provides a cost–effective choice for addressing modern engineering and scientific challenges that arise from the extremely complicated real–life applications.



Preface xv

Acknowledgments xxi

Acronyms xxiii

Chapter 1. Electromagnetic Modeling of Composite Metallic andDielectric Structures Using Higher Order Basis Functions 1

1.0   Summary

1.1 Integral Equations for Dielectric Structures 

1.2 A General Formulation for the Analysis of Composite Metallicand Dielectric Structures 5

1.3 Geometric Modeling 8

1.4 MoM Modeling of the Structures 14

1.5 Description of Higher Order Basis Functions 21

1.6 Testing Procedure 28

1.7 Modeling of the Excitations 35

1.8 Examples Illustrating the Requirements of the GeometricalModeling 39

1.9 Examples Illustrating the Salient Features of the HigherOrder Basis Functions 43

1.10 Performance of the PMCHW Formulation Using Higher OrderBasis Functions for Different Values of the Dielectric Constants48

1.11 Performance of the PMCHW Formulation at Very LowFrequencies Using Higher Order Basis Functions for DielectricBodies 50

1.12 Evaluation of Antenna and Scatterer Characteristics 52

1.13 Conclusions 55

References 55

Chapter 2. Parallel In–Core and Out–of–Core LU Factorizationfor Solving a Matrix Equation and the Corresponding Parallel MatrixFilling in HOBBIES 57

2.0   Summary 5

2.1 Matrix Equation Resulting from a MoM Code 58

2.2 In–core Matrix Equation Solver  58

2.3 Parallel Implementation of an In–core Solver 60

2.4 Data Decomposition for an Out–of–Core Solver 64

2.5 On–slab, Left–looking, Out–of–core LU Algorithm 66

2.6 Solving a Matrix Equation Using the Out–of–core LU Matrices74

2.7 Parallel In–core and Out–of–core Matrix Filling Schemes76

2.8 Conclusions 80

References 81

Chapter 3. Getting Started and Working with HOBBIES Projects83

3.0 Summary 83

3.1 System Requirements 83

3.2 Installing HOBBIES 84

3.3 Starting HOBBIES 90

3.4 Navigation through HOBBIES 91

3.5 Working with HOBBIES Projects 101

3.6 Flowchart for Making a HOBBIES Simulation 103

3.7 Exiting HOBBIES 105

3.8 Getting Help 105

3.9 Quick Start 105

3.10 Conclusion 106

References 106

Chapter 4. Creating a Geometry Model in HOBBIES 107

4.0 Summary 107

4.1 Creating a Simple Model Using the Structure Menu 107

4.2 Creating an Arbitrarily Shaped Model Using the Geometry Menu156

4.3 Operations on a Model 171

4.4 Manipulations on a Model 189

4.5 Delete a Model 197

4.6 Conclusion 197

References 198

Chapter 5. Meshing a Model in HOBBIES 199

5.0 Summary 199

5.1 Unstructured Mesh 200

5.2 Structured Mesh 202

5.3 Element Type 205

5.4 Mesh Criteria 206

5.5 Reset Mesh Data 207

5.6 Draw 208

5.7 Generate Mesh 210

5.8 Erase Mesh 211

5.9 Edit Mesh 211

5.10 Show Errors 212

5.11 Mesh Quality 213

5.12 Mesh Options from Model 214

5.13 Mesh Generation Example for Surfaces 214

5.14 Example of Mesh Generation for a Curve 218

5.15 Assigning Element Sizes for Generating the Mesh 221

5.16 Conclusion 226

References 226

Chapter 6. Setting up a HOBBIES Solution and Running aSimulation 227

6.0 Summary 227

6.1 Operation Mode 228

6.2 Units 228

6.3 Frequency Range 230

6.4 Domains 230

6.5 Loadings 238

6.6 Excitation 242

6.7 Symmetry 248

6.8 Edge 250

6.9 Output Settings 254

6.10 Options 258

6.11 Running Simulations 265

6.12 Conclusion 272

Chapter 7. HOBBIES Post–Processing for Visualizing theResults 273

7.0 Summary 273

7.1 Entering Post–Processing Window 274

7.2 Post–Processing Window 274

7.3 Example of Operations in Post–Processing 280

7.4 Leaving Post–Processing Window 316

7.5 Limitation of Post–Processing display in Academic Version ofHOBBIES 320

7.6 Conclusion 320

Chapter 8. Solving Electromagnetic Field Problems UsingHOBBIES 321

8.0 Summary 321

8.1 Metallic Structures 322

8.2 Composite Metallic and Dielectric Structures 350

8.3 Loadings 374

8.4 Use of Symmetry in the Analysis of a Problem 398

8.5 Antenna above a Real Ground 428

8.6 Use of Imaging for Generating an Accurate Solution 436

8.7 Conclusion 442

References 442

Chapter 9. Advanced Electromagnetic Modeling Using HOBBIES443

9.0 Summary 443

9.1 Radiation Analysis of Complicated Antennas 444

9.2 Radar Cross Section (RCS) Calculation of Complex Targets458

9.3 Conclusion 476

References 476

Chapter 10. HOBBIES Optimizer and its Applications479

10.0 Summary

10.1 Flowchart of the HOBBIES Optimizer 480

10.2 Optimization Algorithms Used in the Optimizer 482

10.3 Setting up the HOBBIES Optimizer 487

10.4 Optimization Examples 507

10.5 Conclusion 516

References 516

Appendix A. A Brief Summary of Some Commands Used in HOBBIES517

Appendix B. A List of all Codes in the Accompanying CD 525

Index 531



YU ZHANG, PhD, is a professor in the School of ElectronicEngineering at Xidian University in Xi′an, China.

TAPAN K. SARKAR, PhD, is a professor in the Department ofElectrical Engineering and Computer Science at Syracuse University,New York, USA.

XUNWANG ZHAO, PhD, is an associate professor in theSchool of Electronic Engineering at Xidian University, Xi′an,China.

DANIEL GARCIA–DOÑORO is a PhD student in theDepartment of Signal Theory and Communications at UniversidadCarlos III de Madrid in Madrid, Spain.

WEIXIN ZHAO is a PhD student in the Department ofElectrical Engineering and Computer Science at Syracuse University,New York, USA.

MAGDALENA SALAZAR–PALMA, PhD, is a professor in theDepartment of Signal Theory and Communications at UniversidadCarlos III de Madrid, Spain.

SIOWENG TING, PhD, is an assistant professor in theDepartment of Electrical and Computer Engineering at the Universityof Macau, China.

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