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Time Domain Adaptive Integral Method for Surface Integral Equations

Teacher Information

Name
JIN Jianming ZJU Faculty Homepage
Department
ZJUI
Research
Antennas for communication and wireless sensing, Bioelectromagnetics, Biomedical Imaging, Bioengineering, and Acoustics, Electromagnetic compatibility, Electromagnetic theory
Document Type
Book Chapter
Modeling and Computations in Electromagnetics: A Volume Dedicated to JeanClaude Nedelec

Publication

Chapter Title
Time Domain Adaptive Integral Method for Surface Integral Equations
Author
A.E. Yilmaz, Jian-Ming Jin, E. Michielssen
Chapter
3
Page
65-104
Source Title
Modeling and Computations in Electromagnetics: A Volume Dedicated to JeanClaude Nedelec
Author/Author of Source
Habib Ammari
Publisher
Springer
P-ISBN
9783540737773
E-ISBN
9783540737780
Abstract

To ensure the interoperability of modern broadband and integrated navigation and communication systems, engineers need simulation tools capable of tracking electromagnetic transients on electrically large and complex, multiscale and potentially nonlinearly loaded structures. In this context, marching-onin-time based time-domain integral-equation (MOT-TDIE) solvers provide an increasingly appealing alternative to finite difference/element based simulation engines [1, 2]. Indeed, compared to the latter, MOT-TDIE solvers automatically impose radiation conditions, do not require fields to be discretized throughout homogeneous volumes, and are highly immune to numerical dispersion [3, 4]. Moreover, recent algorithmic advances have rendered these solvers (a) well-conditioned and stable, (b) computationally efficient, and (c) applicable to the analysis transients on geometrically complex structures. (d) Finally, MOT-TDIE solvers have been hybridized with various subsystem simulators, thereby vastly expanding their application range.

DOI
https://doi.org/10.1007/978-3-540-73778-0_3

Print & Electronic Holdings

Holdings
International Campus Library-Special Collection
Call Number
O441/LM2/SC2
Barcode
000000336973
Database
Springer
Link