IIUM Repository

A new domain decomposition FDTD technique for simulating electromagnetic penetration into buildings

Abd-EI-Raouf, Hany Ehsan (2005) A new domain decomposition FDTD technique for simulating electromagnetic penetration into buildings. In: 2005 Asia-Pacific Conference on Applied Electromagnetics, APACE 2005, 20-21 Dec. 2005, Johor Bahru, Johor.

[img] PDF - Published Version
Restricted to Repository staff only

Download (2MB)

Abstract

We developed two techniques for solving the problem of penetration of electromagnetic waves into large buildings. The first technique based on hybridizing the new FDTD domain decomposition and the Method of Moments (MoM), for solving the problem due to an arbitrary excitation. The hybrid technique enables us to efficiently handle wire type configurations using a MoM type of code, while we use the proposed domain decomposition FDTD method to analyze inhomogeneous structures, such as buildings with doors, windows and electronic. The second technique based on hybridizing the Yee algorithm with the higher order FDTD "M3d24" scheme. So that, the Yee algorithm will be applied to the external inhomogeneous subdomain while the M3d24 scheme will be applied to the large internal subdomain in which we can use low resolution grid that can be handled using the available computer resources.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 4986/30834
Uncontrolled Keywords: Engineering controlled terms: Algorithms; Buildings; Computer software; Method of moments; Time domain analysis
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Nor Fathiah Jumiran (Part Time)
Date Deposited: 26 Aug 2013 12:04
Last Modified: 26 Aug 2013 12:04
URI: http://irep.iium.edu.my/id/eprint/30834

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year