: Timothy J. Barth, Michael Griebel, David E. Keyes, Risto M. Nieminen, Dirk Roose, Tamar Schlick, Fra
: Frank Graziani
: Computational Methods in Transport: Verification and Validation
: Springer-Verlag
: 9783540773627
: 1
: CHF 85.20
:
: Allgemeines, Lexika
: English
: 332
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

The focus of this book deals with a cross cutting issue affecting all transport disciplines, whether it be photon, neutron, charged particle or neutrino transport. That is, verification and validation. In this book, we learn what the astrophysicist, atmospheric scientist, mathematician or nuclear engineer do to assess the accuracy of their code. What convergence studies, what error analysis, what problems do each field use to ascertain the accuracy of their transport simulations.

Preface5
List of Contributors7
Contents9
Verification (Mostly) for High Energy Density Radiation Transport: Five Case Studies11
1 Introduction11
2 Case 1: The Marshak Wave12
3 Case 2: Star-in-Space Problem15
4 Case 3: The Radiating Shock Problem18
5 Case 4: The Crooked Pipe22
6 Case 5: Angle, Angles, Angles23
7 Conclusion25
Acknowledgments26
References26
A General Strategy for Physics-Based Model Validation Illustrated with Earthquake Phenomenology, Atmospheric Radiative Transfer, and Computational Fluid Dynamics29
1 Introduction: Our Position with Respect to Previous Work on Validation and Related Concepts29
2 Validation as a Constructive Iterative Process42
3 Desirable Properties of the Multiplier of the Validation Step48
4 Practical Guidelines for Determining p/q and cnovel51
5 Illustration with the Development of Quantum Mechanics53
6 Three Examples Drawn from the Authors Research Interests55
7 Summary63
Acknowledgments64
Appendix: A More Formal Look at the Role of Validation in the Modeling Enterprise64
References76
Spectral Solvers to Non-Conservative Transport for Non- Linear Interactive Systems of Boltzmann Type85
1 Introduction85
2 The Non-Linear Boltzmann Equation for Binary Particle Interactions87
3 Numerical Method and Discretization97
4 Numerical Results101
5 Conclusions and Future Work111
Acknowledgments111
References112
The Art of Analytical Benchmarking115
1 Introduction115
2 The Theoretical Setting117
3 The Numerical Setting120
4 Mining the Discrete Ordinates Solution126
5 Conclusions139
References144
Implicit Monte Carlo Radiation Transport Simulations of Four Test Problems145
1 The Units Used for the Simulations Described in this Work145
2 A Gray Infinite Medium Problem with a Matter Energy Source Allowing an Analytic Answer146
3 A Cube with a Face Source Allowing an Approximate Analytic Answer147
4 Graziani s Spherical Multigroup Prompt Spectrum Test Problem149
5 A Slab Version of Graziani s Prompt Spectrum Test Problem156
Acknowledgment157
References160
The Prompt Spectrum of a Radiating Sphere: Benchmark Solutions for Diffusion and Transport161
1 Introduction161
2 The Prompt Spectrum: Problem Definition163
3 The Prompt Spectrum: Mathematical Derivation164
Acknowledgments176
References176
Some Verification Problems with Possible Transport Applications179
Introduction179
1 Open Radiation Boundary Test179
2 Spherical Heat Flow Test181
3 Coupled Multi-Temperature Diffusion Test183
4 Conclusion184
Acknowledgment185
References185
Canopy Reflectance Model Benchmarking: RAMI and the ROMC187
1 The Organisation of RAMI188
2 The RAMI Protocol195
3 The RAMI On-Line Model Checker206
4 Conclusion213
Acknowledgments213
References214
Uncertainty and Sensitivity Analysis for Models of Complex Systems217
1 Introduction217
2 Characterization of Uncertainty218
3 Generation of Sample219
4 Propagation of Sample Through the Analysis222
5 Presentation of Uncertainty Analysis Results223
6 Determination of Sensitivity Analysis Results224
7 Summary230
Acknowledgments231
References231
A Brief Overview of the State-of-the-Practice and Current Challenges of Solution Verification239
1 Introduction239
2 The Asymptotic Regime of Convergence241
3 State-of-the-Practice to Verify the Convergence of Solutions244
4 The Grid Convergence Index249
5 Application of Solution Veri.cation to a Finite Element Calculation251
6 Discussion of the Challenges of Code and Solution Verification254
7 Conclusion258
Acknowledgments259
References259
Expert Panel Opinion and Global Sensitivity Analysis for Composite Indicators261
1 Introduction261
2 Methodological Issues and Uncertainties in Building a Composite Indicator264
3 Case Study: Technology Achievement Index and Expert Opinion271
4 Results275
5 Conclusions and Future Work281
References283
A Practical Global Sensitivity Analysis Methodology for Multi- Physics Applications287
1 Introduction287
2 A Global Sensitivity Analysis Methodology288
3 Parameter Screening291
4 Response Surface Analysis298
5 Variance Decomposition299
6 Validating our Sensitivity Analysis Methodology304
7 PSUADE306
8 Summary307
Acknowledgment308
References308
Color Plates311
Editorial Policy337
General Remarks338
Lecture Notes in Computational Science and Engineering339
Monographs in Computational Science and Engineering341
Texts in Computational Science and Engineering342