PO-based characteristic basis finite element method (CBFEM-PO)-A parallel, iteration-free domain decomposition algorithm using perfectly matched layers for large-scale electromagnetic scattering problems

In this article, we introduce a new type of Characteristic Basis Finite Element Method (CBFEM), which is based on the concepts of Physical Optics (PO) and Perfectly Matched Layers (PMLs), for solving large‐scale electromagnetic scattering problems in a rigorous and efficient manner. This parallel an...

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Veröffentlicht in:Microwave and optical technology letters Jg. 52; H. 5; S. 1053 - 1060
Hauptverfasser: Ozgun, Ozlem, Mittra, Raj, Kuzuoglu, Mustafa
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.05.2010
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ISSN:0895-2477, 1098-2760
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Abstract In this article, we introduce a new type of Characteristic Basis Finite Element Method (CBFEM), which is based on the concepts of Physical Optics (PO) and Perfectly Matched Layers (PMLs), for solving large‐scale electromagnetic scattering problems in a rigorous and efficient manner. This parallel and iteration‐free technique, called CBFEM‐PO, decomposes the computational domain into a number of subdomains, and generates three types of characteristic basis functions (CBFs) that are specially‐tailored to each individual subdomain. Of these, the first two types of CBFs are comprised of primary and secondary bases arising from the self‐interactions in each subdomain and mutual‐couplings between different subdomains, respectively. They are obtained by solving the localized problem in each subdomain, isolated by PML regions. The third‐type of CBFs are derived by using the PO fields for different incident angles, polarization, and frequency. Two important salutary features of the proposed technique are: considerable reduction in the matrix size, which makes it feasible to use direct solvers; and convenient parallelizability that enables us to decrease the overall computation time by utilizing parallel platforms. We present a number of representative examples to illustrate the versatility of the method in solving 3D electromagnetic scattering problems. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1053–1060, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25134
AbstractList In this article, we introduce a new type of Characteristic Basis Finite Element Method (CBFEM), which is based on the concepts of Physical Optics (PO) and Perfectly Matched Layers (PMLs), for solving large-scale electromagnetic scattering problems in a rigorous and efficient manner. This parallel and iteration-free technique, called CBFEM-PO, decomposes the computational domain into a number of subdomains, and generates three types of characteristic basis functions (CBFs) that are specially-tailored to each individual subdomain. Of these, the first two types of CBFs are comprised of primary and secondary bases arising from the self-interactions in each subdomain and mutual-couplings between different subdomains, respectively. They are obtained by solving the localized problem in each subdomain, isolated by PML regions. The third-type of CBFs are derived by using the PO fields for different incident angles, polarization, and frequency. Two important salutary features of the proposed technique are: considerable reduction in the matrix size, which makes it feasible to use direct solvers; and convenient parallelizability that enables us to decrease the overall computation time by utilizing parallel platforms. We present a number of representative examples to illustrate the versatility of the method in solving 3D electromagnetic scattering problems.
In this article, we introduce a new type of Characteristic Basis Finite Element Method (CBFEM), which is based on the concepts of Physical Optics (PO) and Perfectly Matched Layers (PMLs), for solving large‐scale electromagnetic scattering problems in a rigorous and efficient manner. This parallel and iteration‐free technique, called CBFEM‐PO, decomposes the computational domain into a number of subdomains, and generates three types of characteristic basis functions (CBFs) that are specially‐tailored to each individual subdomain. Of these, the first two types of CBFs are comprised of primary and secondary bases arising from the self‐interactions in each subdomain and mutual‐couplings between different subdomains, respectively. They are obtained by solving the localized problem in each subdomain, isolated by PML regions. The third‐type of CBFs are derived by using the PO fields for different incident angles, polarization, and frequency. Two important salutary features of the proposed technique are: considerable reduction in the matrix size, which makes it feasible to use direct solvers; and convenient parallelizability that enables us to decrease the overall computation time by utilizing parallel platforms. We present a number of representative examples to illustrate the versatility of the method in solving 3D electromagnetic scattering problems. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1053–1060, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25134
Author Mittra, Raj
Kuzuoglu, Mustafa
Ozgun, Ozlem
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  surname: Kuzuoglu
  fullname: Kuzuoglu, Mustafa
  organization: Department of Electrical Engineering, Middle East Technical University, Ankara 06531, Turkey
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crossref_primary_10_1109_TGRS_2011_2162650
crossref_primary_10_1109_TMTT_2012_2190750
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References M. Carr and J.L. Volakis, A generalized framework for hybrid simulation of multi-component structures using iterative field refinement, IEEE Antennas Propag Mag 48 ( 2006), 22-32.
O. Ozgun and M. Kuzuoglu, Forward-backward domain decomposition method for finite element solution of boundary value problems, Microwave Opt Technol Lett 49 ( 2007), 2582-2590.
C.T. Wolfe, U. Navsariwala, and S.D. Gedney, A parallel finite-element tearing and interconnecting algorithm for solution of the vector wave equation with PML absorbing medium, IEEE Trans Antennas Propag 48 ( 2000), 278-284.
R.S. Chen, E.K.N. Yung, C.H. Chan, D.X. Wang, and J.M. Jin, An algebraic domain decomposition algorithm for the vector finite-element analysis of 3D electromagnetic field problems, Microwave Opt Technol Lett 34 ( 2002), 414-417.
V.V. Prakash and R. Mittra, Characteristic basis function method: A new technique for efficient solution of method of moments matrix equations, Microwave Opt Technol Lett 36 ( 2003), 95-100.
W. Gropp, E. Lusk, and A. Skjellum, Using MPI: Portable parallel programming with the message-passing interface, MIT Press, Cambridge, 1994.
A. Schadle, L. Zschiedrich, S. Burger, R. Klose, and F. Schmidt, Domain decomposition method for Maxwell's equations: Scattering off periodic structures, J Comput Phys 226 ( 2007), 477-493.
O. Ozgun and M. Kuzuoglu, Finite element analysis of electromagnetic wave problems via iterative leap-field domain decomposition method, J Electromagn Waves Appl 22 ( 2008), 251-266.
O. Ozgun and M. Kuzuoglu, Non-Maxwellian locally-conformal PML absorbers for finite element mesh truncation, IEEE Trans Antennas Propag 55 ( 2007), 931-937.
J. Yeo, V.V.S. Prakash, and R. Mittra, Efficient analysis of a class of microstrip antennas using the characteristic basis function method (CBFM), Microwave Opt Technol Lett 39 ( 2003), 456-464.
O. Ozgun and M. Kuzuoglu, Near-field performance analysis of locally-conformal perfectly matched absorbers via Monte Carlo simulations, J Comput Phys 227 ( 2007), 1225-1245.
O. Ozgun, R. Mittra, and M. Kuzuoglu, Multi-Level Characteristic Basis Finite Element Method (ML-CBFEM)-An efficient version of a parallel, non-iterative domain decomposition algorithm for direct solution of large-scale electromagnetic problems, IEEE Trans Antennas Propag, in press.
V.V. Veremey and R. Mittra, Efficient computation of interconnect capacitances using the domain decomposition approach, IEEE Trans Adv Packaging 22 ( 1999), 348-355.
O. Ozgun, R. Mittra, and M. Kuzuoglu, CBFEM-MPI: A parallelized version of characteristic basis finite element method for extraction of 3D interconnect capacitances, IEEE Trans Adv Packaging 32 ( 2009), 164-174.
T.N. Philips, Preconditioned iterative methods for elliptic problems on decomposed domains, Int J Comput Math 44 ( 1992), 5-18.
S.J. Kwon, K. Du, and R. Mittra, Characteristic basis function method: A numerically efficient technique for analyzing microwave and RF circuits, Microwave Opt Technol Lett 38 ( 2003), 444-448.
J.F. Lee, R. Lee, and F. Teixeira, Hierarchical vector finite elements with p-type non-overlapping Schwarz method for modeling waveguide discontinuities, Comput Model Eng Sci 5 ( 2004), 423-434.
B. Stupfel, A fast-domain decomposition method for the solution of electromagnetic scattering by large objects, IEEE Trans Antennas Propag 44 ( 1996), 1375-1385.
O. Ozgun, R. Mittra, and M. Kuzuoglu, Parallelized characteristic basis finite element method (CBFEM-MPI)-A non-iterative domain decomposition algorithm for electromagnetic scattering problems, J Comput Phys 228 ( 2009), 2225-2238.
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References_xml – reference: V.V. Veremey and R. Mittra, Efficient computation of interconnect capacitances using the domain decomposition approach, IEEE Trans Adv Packaging 22 ( 1999), 348-355.
– reference: W. Gropp, E. Lusk, and A. Skjellum, Using MPI: Portable parallel programming with the message-passing interface, MIT Press, Cambridge, 1994.
– reference: S.J. Kwon, K. Du, and R. Mittra, Characteristic basis function method: A numerically efficient technique for analyzing microwave and RF circuits, Microwave Opt Technol Lett 38 ( 2003), 444-448.
– reference: O. Ozgun, R. Mittra, and M. Kuzuoglu, CBFEM-MPI: A parallelized version of characteristic basis finite element method for extraction of 3D interconnect capacitances, IEEE Trans Adv Packaging 32 ( 2009), 164-174.
– reference: J.F. Lee, R. Lee, and F. Teixeira, Hierarchical vector finite elements with p-type non-overlapping Schwarz method for modeling waveguide discontinuities, Comput Model Eng Sci 5 ( 2004), 423-434.
– reference: V.V. Prakash and R. Mittra, Characteristic basis function method: A new technique for efficient solution of method of moments matrix equations, Microwave Opt Technol Lett 36 ( 2003), 95-100.
– reference: A. Schadle, L. Zschiedrich, S. Burger, R. Klose, and F. Schmidt, Domain decomposition method for Maxwell's equations: Scattering off periodic structures, J Comput Phys 226 ( 2007), 477-493.
– reference: J. Yeo, V.V.S. Prakash, and R. Mittra, Efficient analysis of a class of microstrip antennas using the characteristic basis function method (CBFM), Microwave Opt Technol Lett 39 ( 2003), 456-464.
– reference: O. Ozgun, R. Mittra, and M. Kuzuoglu, Multi-Level Characteristic Basis Finite Element Method (ML-CBFEM)-An efficient version of a parallel, non-iterative domain decomposition algorithm for direct solution of large-scale electromagnetic problems, IEEE Trans Antennas Propag, in press.
– reference: T.N. Philips, Preconditioned iterative methods for elliptic problems on decomposed domains, Int J Comput Math 44 ( 1992), 5-18.
– reference: O. Ozgun and M. Kuzuoglu, Finite element analysis of electromagnetic wave problems via iterative leap-field domain decomposition method, J Electromagn Waves Appl 22 ( 2008), 251-266.
– reference: O. Ozgun and M. Kuzuoglu, Non-Maxwellian locally-conformal PML absorbers for finite element mesh truncation, IEEE Trans Antennas Propag 55 ( 2007), 931-937.
– reference: O. Ozgun and M. Kuzuoglu, Near-field performance analysis of locally-conformal perfectly matched absorbers via Monte Carlo simulations, J Comput Phys 227 ( 2007), 1225-1245.
– reference: R.S. Chen, E.K.N. Yung, C.H. Chan, D.X. Wang, and J.M. Jin, An algebraic domain decomposition algorithm for the vector finite-element analysis of 3D electromagnetic field problems, Microwave Opt Technol Lett 34 ( 2002), 414-417.
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– reference: M. Carr and J.L. Volakis, A generalized framework for hybrid simulation of multi-component structures using iterative field refinement, IEEE Antennas Propag Mag 48 ( 2006), 22-32.
– reference: B. Stupfel, A fast-domain decomposition method for the solution of electromagnetic scattering by large objects, IEEE Trans Antennas Propag 44 ( 1996), 1375-1385.
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– volume: 5
  start-page: 423
  year: 2004
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  publication-title: IEEE Trans Antennas Propag
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– volume: 36
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  article-title: Characteristic basis function method: A new technique for efficient solution of method of moments matrix equations
  publication-title: Microwave Opt Technol Lett
– volume: 48
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  year: 2006
  end-page: 32
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  publication-title: IEEE Antennas Propag Mag
– volume: 34
  start-page: 414
  year: 2002
  end-page: 417
  article-title: An algebraic domain decomposition algorithm for the vector finite‐element analysis of 3D electromagnetic field problems
  publication-title: Microwave Opt Technol Lett
– volume: 22
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  year: 2008
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  publication-title: J Electromagn Waves Appl
– volume: 48
  start-page: 278
  year: 2000
  end-page: 284
  article-title: A parallel finite‐element tearing and interconnecting algorithm for solution of the vector wave equation with PML absorbing medium
  publication-title: IEEE Trans Antennas Propag
– volume: 38
  start-page: 444
  year: 2003
  end-page: 448
  article-title: Characteristic basis function method: A numerically efficient technique for analyzing microwave and RF circuits
  publication-title: Microwave Opt Technol Lett
– volume: 227
  start-page: 1225
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– year: 1994
– volume: 22
  start-page: 348
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Snippet In this article, we introduce a new type of Characteristic Basis Finite Element Method (CBFEM), which is based on the concepts of Physical Optics (PO) and...
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SubjectTerms Algorithms
characteristic basis functions
Computation
domain decomposition
Electromagnetic scattering
Finite element method
finite element method (FEM)
Mathematical analysis
parallel processing
perfectly matched layer (PML)
Perfectly matched layers
Physical optics
Three dimensional
Title PO-based characteristic basis finite element method (CBFEM-PO)-A parallel, iteration-free domain decomposition algorithm using perfectly matched layers for large-scale electromagnetic scattering problems
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Volume 52
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