Neutron diffusion : concepts and uncertainty analysis for engineers and scientists /

"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 de...

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Bibliographic Details
Main Author: Chakraverty, Snehashish
Corporate Author: Taylor & Francis
Other Authors: Nayak, Sukanta
Format: eBook
Language:English
Published: Boca Raton : CRC Press, 2017.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"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 a must in every field of engineering and science and, in particular, with regards 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 readers with basic concepts of reactor physics as well as neutron diffusion theory. On the other hand, it also includes uncertainty (in terms of fuzzy, interval, stochastic) and their applications in nuclear diffusion problems in a systematic manner, along with recent developments. The underlying concepts 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. This book then can be widely applied 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."--Provided by publisher
Physical Description:1 online resource
Bibliography:Includes bibliographical references.
ISBN:9781351667517
1351667513
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1351667505
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1498778771
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1315162202
9781351667494
1351667491