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Nuclear Engineering: Mathematical Modeling and Simulation

Autor Zafar Ullah Koreshi
en Limba Engleză Paperback – 22 mar 2022
Nuclear Engineering Mathematical Modeling and Simulation presents the mathematical modeling of neutron diffusion and transport. Aimed at students and early career engineers, this highly practical and visual resource guides the reader through computer simulations using the Monte Carlo Method which can be applied to a variety of applications, including power generation, criticality assemblies, nuclear detection systems, and nuclear medicine to name a few. The book covers optimization in both the traditional deterministic framework of variational methods and the stochastic framework of Monte Carlo methods.
Specific sections cover the fundamentals of nuclear physics, computer codes used for neutron and photon radiation transport simulations, applications of analyses and simulations, optimization techniques for both fixed-source and multiplying systems, and various simulations in the medical area where radioisotopes are used in cancer treatment.


  • Provides a highly visual and practical reference that includes mathematical modeling, formulations, models and methods throughout
  • Includes all current major computer codes, such as ANISN, MCNP and MATLAB for user coding and analysis
  • Guides the reader through simulations for the design optimization of both present-day and future nuclear systems
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Specificații

ISBN-13: 9780323906180
ISBN-10: 0323906184
Pagini: 548
Ilustrații: 220 illustrations (70 in full color)
Dimensiuni: 216 x 276 x 35 mm
Greutate: 1.25 kg
Editura: ELSEVIER SCIENCE

Cuprins

1. The atom and nuclear radiation
2. Interactions of neutrons with matter
3. Nuclear reactors
4. Mathematical foundations
5. The neutron diffusion equation
6. The neutron transport equation
7. The Monte Carlo method
8. Computer codes
9. Optimization and variational methods
10. Monte Carlo simulation in nuclear systems
11. Comparison: mc vs deterministic
12. Exercises in Monte Carlo simulation
13. Optimization in nuclear systems
14. Monte Carlo simulation in medical physics