Numerical Approximation of the Magnetoquasistatic Model with Uncertainties (Record no. 56676)

000 -LEADER
fixed length control field 03377nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-41294-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112042.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 160727s2016 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319412948
-- 978-3-319-41294-8
082 04 - CLASSIFICATION NUMBER
Call Number 621.3
100 1# - AUTHOR NAME
Author R�omer, Ulrich.
245 10 - TITLE STATEMENT
Title Numerical Approximation of the Magnetoquasistatic Model with Uncertainties
Sub Title Applications in Magnet Design /
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXII, 114 p. 20 illus., 8 illus. in color.
490 1# - SERIES STATEMENT
Series statement Springer Theses, Recognizing Outstanding Ph.D. Research,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Magnetoquasistatic Approximation of Maxwell's Equations, Uncertainty Quantification Principles -- Magnetoquasistatic Model and its Numerical Approximation -- Parametric Model, Continuity and First Order Sensitivity Analysis -- Uncertainty Quantification -- Uncertainty Quantification for Magnets -- Conclusion and Outlook.
520 ## - SUMMARY, ETC.
Summary, etc 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. .
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-41294-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2016.
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-- computer
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-- rdamedia
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-- online resource
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347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Particle acceleration.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Structural mechanics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering design.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Microwaves.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Optical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Microwaves, RF and Optical Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Structural Mechanics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Design.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Particle Acceleration and Detection, Beam Physics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2190-5053
912 ## -
-- ZDB-2-ENG

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