Doctoral Dissertations


Yun Ji


"EMAP5 is a numerical software package designed to model electromagnetic problems. It is a hybrid finite-element/moment-method (FEM/MoM) code. It employs the finite element method to analyze a volume, and employs the method of moments to analyze the current distribution on the surface of the volume. The two methods are coupled through the tangential fields on the volume surface.

This dissertation presents the latest improvements made to the EMAP5 code. A novel preconditioning technique is developed that can significantly improve the efficiency and accuracy of iterative solvers. Three different solution methods are investigated and a general guideline for choosing solution methods is provided. The interior resonance problem of the electric- and magnetic- field integral equations (EFIE and MFIE) is investigated. A combined field integral equation (CFIE) is implemented. The CFIE avoids problems due to the interior resonance when solving electromagnetic scattering problems and when modeling typical printed circuit board (PCB) geometries. The dissertation also discusses methods for efficiently analyzing PCB geometries using hybrid FEM/MoM techniques"--Abstract, page iv.


Hubing, Todd H.

Committee Member(s)

Drewniak, James L.
Van Doren, Thomas, 1940-
DuBroff, Richard E.
Hale, Barbara N.


Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering


University of Missouri--Rolla

Publication Date

Fall 2000

Journal article titles appearing in thesis/dissertation

  • EMAP5: A 3D hybrid FEM/MoM code
  • A novel preconditioning technique and comparison of three formulations for hybrid FEM/MoM methods
  • Investigation of the Interior Resonance in the Hybrid FEM/MoM Method
  • On the interior resonance problem when applying a hybrid FEM/MoM approach to model printed circuit boards
  • On the modeling of a gapped power bus structure using a hybrid FEM/MoM approach


xii, 177 pages

Note about bibliography

Includes bibliographical references.


© 2000 Yun Ji, All rights reserved.

Document Type

Dissertation - Restricted Access

File Type




Thesis Number

T 7789

Print OCLC #


Electronic OCLC #


Link to Catalog Record

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