Monte Carlo Methods and Codes for Nuclear Engineering Analysis

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

Monte Carlo Methods and Codes for Nuclear Engineering Analysis provides a comprehensive survey of the state-of-the-art in radiation transport methods used by Monte Carlo (MC) codes. It then goes on to explore the real-world implementation of these methods in codes used by nuclear and scientists engineers, considering the advantages and disadvantages of the various techniques, design philosophies, and algorithm implementations. After a foreword and introduction giving a brief history of Monte Carlo methods, code systems, and their applications in nuclear science and engineering, subsequent chapters describe the fundamentals of Monte Carlo radiation transport methods by dividing the field into a number of topics or focus areas. The 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.

• discusses and compares the radiation transport methods in real-life Monte Carlo (MC) codes used by nuclear scientists and engineers
• presents in one convenient volume information previously scattered between conference papers, journal articles, and code manuals, thus allowing MC code users to compare the features and make and educated selections of the codes best meeting their needs
• chapters begin at a level that is appropriate for readers who are unfamiliar with the field, then go on to address the state-of-the-art

Researchers and code developers in academia working on Monte Carlo methods. Postgraduate students studying Monte Carlo methods with applications to nuclear science and engineering and their teachers. Nuclear engineering professionals working on projects requiring the use of MC methods and codes