Neutron Diffusion Concepts and Uncertainty Analysis for Engineers and Scientists |
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| Author:
| Chakraverty, S.
Nayak, Sukanta |
| ISBN: | 978-1-4987-7877-0 |
| Publication Date: | Mar 2017 |
| Publisher: | CRC Press LLC
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| Book Format: | Digital (delivered electronically) |
| List Price: | USD $159.95 |
Book Description:
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This book is designed for a systematic understanding of nuclear diffusion theory along with fuzzy/interval/stochastic uncertainty. This will serve to be a benchmark book for graduate & postgraduate students, teachers, engineers and researchers throughout the globe.
In view of the recent developments in nuclear engineering, it is important to study the basic concepts of this field along with the diffusion processes for nuclear reactor design. Also, it is known that uncertainty...
More Description
This book is designed for a systematic understanding of nuclear diffusion theory along with fuzzy/interval/stochastic uncertainty. This will serve to be a benchmark book for graduate & postgraduate students, teachers, engineers and researchers throughout the globe.
In view of the recent developments in nuclear engineering, it is important to study the basic concepts of this field along with the diffusion processes for nuclear reactor design. Also, it is known that uncertainty is must in every field of engineering and science and in particular to nuclear related problems. As such, one may need to understand the nuclear diffusion principles/theories corresponding with reliable and efficient techniques for the solution of such uncertain problems. Accordingly this book aims to provide a new direction for the readers with basic concepts of reactor physics as well as neutron diffusion theory. On the other hand, it also includes uncertainty (in term of fuzzy, interval, stochastic) and their applications in nuclear diffusion problems in a systematic manner along with the recent developments. The idea of the presented methods in this book may very well be used/extended to various other engineering disciplines viz. electronics, marine, chemical, mining engineering and other sciences such as physics, chemistry, biotechnology etc. wherever one wants to model their physical problems in terms of non-probabilistic methods viz. fuzzy/stochastic for the true essence of the real problems.