Numerical Approximation of the Magnetoquasistatic Model with Uncertainties - Applications in Magnet Design (Paperback, Softcover reprint of the original 1st ed. 2016)

This book presents a comprehensive mathematical approach for solving stochastic magnetic field problems. It discusses variability in material properties and geometry, with an emphasis on the preservation of structural physical and mathematical properties. It especially addresses uncertainties in the computer simulation of magnetic fields originating from the manufacturing process. Uncertainties are quantified by approximating a stochastic reformulation of the governing partial differential equation, demonstrating how statistics of physical quantities of interest, such as Fourier harmonics in accelerator magnets, can be used to achieve robust designs. The book covers a number of key methods and results such as: a stochastic model of the geometry and material properties of magnetic devices based on measurement data; a detailed description of numerical algorithms based on sensitivities or on a higher-order collocation; an analysis of convergence and efficiency; and the application of the developed model and algorithms to uncertainty quantification in the complex magnet systems used in particle accelerators.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	April 2018
First published:	2016
Authors:	Ulrich Roemer
Dimensions:	235 x 155 x 8mm (L x W x T)
Format:	Paperback
Pages:	114
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-82316-4
Categories:	Books > Arts & Architecture > Industrial / commercial art & design > Product design Books > Science & Mathematics > Physics > Nuclear structure physics Books > Science & Mathematics > Physics > Classical mechanics > General Books > Professional & Technical > Technology: general issues > Technical design > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Microwave technology
LSN:	3-319-82316-7
Barcode:	9783319823164

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