An Efficient Algorithm For Accurate Reduced Models With The Proper Generalized Decomposition For Magnetoquasi-Static Problems

摘要

Consideration of electromagnetic field problems solved by the finite-element (FE) method with large FE models yield high computational effort. Model order reduction (MOR) techniques can be applied to reduce the computational effort. The proper generalized decompostition (PGD) is an a-priori method which calculates the reduced model (RM) from differential equations separated in previous defined coordinates. To exploit the a-priori property of PGD the RM is evaluated for each new mode without the use of a time stepping FE solution. Methods to efficiently evaluate the RM are presented.