Numerical Approximation of the Magnetoquasistatic Model with Uncertainties Applications in Magnet Design /

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...

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Bibliographic Details
Main Author: Römer, Ulrich (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2016.
Imprint: Springer,
Edition:1st ed. 2016.
Series:Springer Theses, Recognizing Outstanding Ph.D. Research,
Subjects:
Telecommunication.
Mechanics, Applied.
Solids.
Engineering design.
Particle accelerators.
Microwaves, RF Engineering and Optical Communications.
Solid Mechanics.
Engineering Design.
Accelerator Physics.
Online Access:Full-text access
Table of Contents:
  • 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.

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