Buch, Englisch, 390 Seiten, Format (B × H): 152 mm x 229 mm
Buch, Englisch, 390 Seiten, Format (B × H): 152 mm x 229 mm
Reihe: Woodhead Publishing Series in Energy
ISBN: 978-0-12-815400-7
Verlag: Elsevier Science Publishing Co Inc
Subjects selected include potential geometry and particle tracking, nuclear data, variance reduction, time-dependent analysis and parallel computing. Each chapter presents a comprehensive survey of the state-of-the-art implementations, algorithms, and methodologies used by production-level Monte Carlo codes for the area. A concluding chapter provides a handy summary by briefly listing the methods used by key Monte Carlo codes for each focus area in several tables.
This book is an essential guide to Monte Carlo methods and codes for nuclear scientists, engineers and code developers in academia and industry and students studying this topic.
Zielgruppe
<ul> <li>Researchers and code developers in academia working on Monte Carlo methods </li> <p> <li>Postgraduate students studying Monte Carlo methods with applications to nuclear science and engineering and their teachers</li> <p> <li>Nuclear engineering professionals working on projects requiring the use of MC methods and codes</li></ul>
Autoren/Hrsg.
Weitere Infos & Material
1. Introduction to Monte Carlo Methods 2. Fundamentals of the Monte Carlo Method 3. Potential Geometry and Particle Tracking 4. Nuclear Data Processing, Data Structures, Handling of Temperature-dependence 5. Eigenvalue Source Convergence and Acceleration for Criticality Codes 6. Importance-based Variance Reduction for Fixed Source Codes 7. Tally Estimators, Tally Data Structures, and Reactor Physics Applications 8. Time-Dependent Analysis Part 1: Depletion Calculations 9. Time-Dependent Analysis
Part 2: Transient/Multiphysics Simulations 10. Sensitivity and Uncertainty Analysis Methods (Adjoint-based and Stochastic Methods) 11. Approach to Parallel/High-Performance Computing 12. Approaches for Validation and Verification 13. Conclusions