Fatih Ecevit Max Planck Institute for Mathematics in the Sciences V í ctor Dom í nguez Ivan Graham New Galerkin Methods for High-frequency Scattering Simulations.

Slides:



Advertisements
Similar presentations
Joint Mathematics Meetings Hynes Convention Center, Boston, MA
Advertisements

1 A new iterative technique for solving nonlinear coupled equations arising from nuclear waste transport processes H. HOTEIT 1,2, Ph. ACKERER 2, R. MOSE.
P. Venkataraman Mechanical Engineering P. Venkataraman Rochester Institute of Technology DETC2013 – 12269: Continuous Solution for Boundary Value Problems.
P. Venkataraman Mechanical Engineering P. Venkataraman Rochester Institute of Technology DETC2014 – 35148: Continuous Solution for Boundary Value Problems.
Uniform Treatment of Numerical Time-Integrations of the Maxwell Equations R. Horváth TU/e, Philips Research Eindhoven TU/e Eindhoven, 27th June, 2002 Scientific.
5/4/2015rew Accuracy increase in FDTD using two sets of staggered grids E. Shcherbakov May 9, 2006.
Numerical Method for Computing Ground States of Spin-1 Bose-Einstein Condensates Fong Yin Lim Department of Mathematics and Center for Computational Science.
Numerical Methods for Problems in Unbounded Domains
Lecture 18 - Numerical Differentiation
CE33500 – Computational Methods in Civil Engineering Differentiation Provided by : Shahab Afshari
MATH 685/ CSI 700/ OR 682 Lecture Notes
Lecture 2: Numerical Differentiation. Derivative as a gradient
Finite Difference Time Domain Method (FDTD)
Numerical Modeling in Magnetism Macro-Magnetism: Solution of Maxwell´s Equations – Engineering of (electro)magnetic devices Atomic Magnetism: Instrinsic.
High Frequency Techniques in Electromagnetics Ayhan Altıntaş Bilkent University, Dept. of Electrical Engineering, Ankara, Turkey
Lesson 5 Method of Weighted Residuals. Classical Solution Technique The fundamental problem in calculus of variations is to obtain a function f(x) such.
Error estimates for degenerate parabolic equation Yabin Fan CASA Seminar,
Numerical solution of Differential and Integral Equations PSCi702 October 19, 2005.
Numerical methods for PDEs PDEs are mathematical models for –Physical Phenomena Heat transfer Wave motion.
© 2011 Autodesk Freely licensed for use by educational institutions. Reuse and changes require a note indicating that content has been modified from the.
Quadrature Greg Beckham. Quadrature Numerical Integration Goal is to obtain the integral with as few computations of the integrand as possible.
CHAPTER 7 NON-LINEAR CONDUCTION PROBLEMS
P. Ackerer, IMFS, Barcelona About Discontinuous Galerkin Finite Elements P. Ackerer, A. Younès Institut de Mécanique des Fluides et des Solides,
Tutorial 5: Numerical methods - buildings Q1. Identify three principal differences between a response function method and a numerical method when both.
Interpolation. Interpolation is important concept in numerical analysis. Quite often functions may not be available explicitly but only the values of.
1 Samara State Aerospace University (SSAU) Modern methods of analysis of the dynamics and motion control of space tether systems Practical lessons Yuryi.
Finite element modeling of the electric field for geophysical application Trofimuk Institute of Petroleum Geology and Geophysics SB RAS Shtabel Nadezhda,
Numerical ElectroMagnetics & Semiconductor Industrial Applications Ke-Ying Su Ph.D. National Central University Department of Mathematics 12 2D-NUFFT &
Mathematical Models and Numerical Investigation for the Eigenmodes of the Modern Gyrotron Resonators Oleksiy KONONENKO RF Structure Development Meeting,
Grating reconstruction forward modeling part Mark van Kraaij CASA PhD-day Tuesday 13 November 2007.
Finite Element Method.
Lecture 22 - Exam 2 Review CVEN 302 July 29, 2002.
STE 6239 Simulering Friday, Week 1: 5. Scientific computing: basic solvers.
MA5251: Spectral Methods & Applications
Computational Methods for Design Lecture 4 – Introduction to Sensitivities John A. Burns C enter for O ptimal D esign A nd C ontrol I nterdisciplinary.
Discontinuous Galerkin Methods Li, Yang FerienAkademie 2008.
Acoustic diffraction by an Oscillating strip. This problem is basically solved by a technique called Wiener Hopf technique.
1 Atmospheric Radiation – Lecture 9 PHY Lecture 10 Infrared radiation in a cloudy atmosphere: approximations.
6. Introduction to Spectral method. Finite difference method – approximate a function locally using lower order interpolating polynomials. Spectral method.
1 Complex Images k’k’ k”k” k0k0 -k0-k0 branch cut   k 0 pole C1C1 C0C0 from the Sommerfeld identity, the complex exponentials must be a function.
Serge Andrianov Theory of Symplectic Formalism for Spin-Orbit Tracking Institute for Nuclear Physics Forschungszentrum Juelich Saint-Petersburg State University,
Introduction to Level Set Methods: Part II
Rieben IMA Poster, 05/11/ UC Davis /LLNL/ ISCR High Order Symplectic Integration Methods for Finite Element Solutions to Time Dependent Maxwell Equations.
Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo System Solutions y(t) t +++++… 11 22.
Engineering Analysis – Computational Fluid Dynamics –
HEAT TRANSFER FINITE ELEMENT FORMULATION
Quality of model and Error Analysis in Variational Data Assimilation François-Xavier LE DIMET Victor SHUTYAEV Université Joseph Fourier+INRIA Projet IDOPT,
EMLAB 1 3D Update Equations with Perfectly Matched Layers.
MECH4450 Introduction to Finite Element Methods Chapter 9 Advanced Topics II - Nonlinear Problems Error and Convergence.
Outline Introduction Research Project Findings / Results
Modeling Electromagnetic Fields in Strongly Inhomogeneous Media
FALL 2015 Esra Sorgüven Öner
Dipole Driving Point Impedance Comparison  Dipole antenna modeled: length = 2m, radius = 0.005m  Frequency range of interest: 25MHz=500MHz  Comparison.
Optimal Investment and Consumption Strategies with Finite Horizon and Transaction Costs: Theory and Computation Min Dai Dept of Math National University.
Mengyu Wang1, Christian Engström1,2,
MECH593 Introduction to Finite Element Methods
Numerical Algorithm Development and Testing in HYCOM.
Sec 21: Generalizations of the Euler Method Consider a differential equation n = 10 estimate x = 0.5 n = 10 estimate x =50 Initial Value Problem Euler.
Bone Ingrowth in a shoulder prosthesis E.M.van Aken, Applied Mathematics.
The Mechanical Simulation Engine library An Introduction and a Tutorial G. Cella.
Using Neumann Series to Solve Inverse Problems in Imaging Christopher Kumar Anand.
Application of Compact- Reconstruction WENO Schemes to the Navier-Stokes Equations Alfred Gessow Rotorcraft Center Aerospace Engineering Department University.
1924: de Broglie suggests particles are waves Mid-1925: Werner Heisenberg introduces Matrix Mechanics In 1927 he derives uncertainty principles Late 1925:
1 CHAP 3 WEIGHTED RESIDUAL AND ENERGY METHOD FOR 1D PROBLEMS FINITE ELEMENT ANALYSIS AND DESIGN Nam-Ho Kim.
CSE 245: Computer Aided Circuit Simulation and Verification
Analytical Tools in ME Course Objectives
Chapter 31.
Modeling Electromagnetic Fields
Comparison of CFEM and DG methods
Presentation transcript:

Fatih Ecevit Max Planck Institute for Mathematics in the Sciences V í ctor Dom í nguez Ivan Graham New Galerkin Methods for High-frequency Scattering Simulations Universidad Pública de Navarra University of Bath Collaborations

Outline High-frequency integral equation methods   Main principles (BGMR 2004)   A robust Galerkin scheme (DGS 2006)   Required improvements II. New Galerkin methods for high-frequency scattering simulations III.   Two new algorithms Electromagnetic & acoustic scattering problems I.I. New Galerkin methods for high-frequency scattering simulations

Governing Equations (TE, TM, Acoustic) Maxwell Eqns. Helmholtz Eqn. Electromagnetic & Acoustic Scattering Simulations I.I.

Scattering Simulations Basic Challenges: Fields oscillate on the order of wavelength   Computational cost   Memory requirement   Variational methods (MoM, FEM, FVM,…)   Differential Eqn. methods (FDTD,…)   Integral Eqn. methods (FMM, H-matrices,…)   Asymptotic methods (GO, GTD,…) Numerical Methods: Convergent (error-controllable) Demand resolution of wavelength Non-convergent (error ) Discretization independent of frequency Electromagnetic & Acoustic Scattering Simulations I.I.

Scattering Simulations Basic Challenges: Fields oscillate on the order of wavelength   Computational cost   Memory requirement   Variational methods (MoM, FEM, FVM,…)   Differential Eqn. methods (FDTD,…)   Integral Eqn. methods (FMM, H-matrices,…)   Asymptotic methods (GO, GTD,…) Numerical Methods: Convergent (error-controllable) Demand resolution of wavelength Non-convergent (error ) Discretization independent of frequency Combine… Electromagnetic & Acoustic Scattering Simulations I.I.

Integral Equation Formulations Radiation Condition: High-frequency Integral Equation Methods II. Boundary Condition:

Integral Equation Formulations Radiation Condition: Single layer potential: High-frequency Integral Equation Methods II. Boundary Condition: Double layer potential:

Integral Equation Formulations Radiation Condition: Single layer potential: High-frequency Integral Equation Methods II.1stkind 2ndkind Boundary Condition: Double layer potential: 2ndkind

Single Convex Obstacle: Ansatz Single layer density: High-frequency Integral Equation Methods II. Double layer density:

Single Convex Obstacle: Ansatz Single layer density: High-frequency Integral Equation Methods II. Double layer density:

Single Convex Obstacle: Ansatz Single layer density: High-frequency Integral Equation Methods II. Double layer density:

Single Convex Obstacle: Ansatz Single layer density: High-frequency Integral Equation Methods II. Double layer density: current non-physical is Bruno, Geuzaine, Monro, Reitich (2004)

Single Convex Obstacle: Ansatz Single layer density: High-frequency Integral Equation Methods II.

Single Convex Obstacle: Ansatz Single layer density: High-frequency Integral Equation Methods II. BGMR (2004)

Single Convex Obstacle A Convergent High-frequency Approach Highly oscillatory! High-frequency Integral Equation Methods II.

Single Convex Obstacle A Convergent High-frequency Approach Localized Integration: Highly oscillatory! High-frequency Integral Equation Methods II. for all n BGMR (2004)

Single Convex Obstacle A Convergent High-frequency Approach High-frequency Integral Equation Methods II. ( Melrose & Taylor, 1985 )

Single Convex Obstacle A Convergent High-frequency Approach High-frequency Integral Equation Methods II. ( Melrose & Taylor, 1985 ) Change of Variables: BGMR (2004)

Single Smooth Convex Obstacle High-frequency Integral Equation Methods II.   Bruno, Geuzaine, Monro, Reitich … 2004 …   Bruno, Geuzaine (3D) …………… …

Single Smooth Convex Obstacle High-frequency Integral Equation Methods II.   Bruno, Geuzaine, Monro, Reitich … 2004 …   Bruno, Geuzaine (3D) …………… …   Huybrechs, Vandewalle …….…… 2006 …

Single Smooth Convex Obstacle High-frequency Integral Equation Methods II.   Domínguez, Graham, Smyshlyaev … 2006 … (circler bd.)   Bruno, Geuzaine, Monro, Reitich … 2004 …   Bruno, Geuzaine (3D) …………… …   Huybrechs, Vandewalle …….…… 2006 …

Single Smooth Convex Obstacle High-frequency Integral Equation Methods II.   Domínguez, Graham, Smyshlyaev … 2006 … (circler bd.)   Bruno, Geuzaine, Monro, Reitich … 2004 …   Bruno, Geuzaine (3D) …………… …   Chandler-Wilde, Langdon ….……   Langdon, Melenk …………..……… Single Convex Polygon   Huybrechs, Vandewalle …….…… 2006 …

Single Smooth Convex Obstacle High-frequency Integral Equation Methods II.   Domínguez, Graham, Smyshlyaev … 2006 … (circler bd.)   Bruno, Geuzaine, Monro, Reitich … 2004 …   Bruno, Geuzaine (3D) …………… …   Chandler-Wilde, Langdon ….……   Langdon, Melenk …………..……… Single Convex Polygon   Huybrechs, Vandewalle …….…… 2006 …   Domínguez, E., Graham, ………… 2007 … (circler bd.)

The Combined Field Operator A High-frequency Galerkin Method DGS (2006) II.

The Combined Field Operator Continuity: circler domains …………… general smooth domains … Giebermann (1997) DGS (2006) II. A High-frequency Galerkin Method DGS (2006)

The Combined Field Operator II. Continuity: Coercivity: circler domains …………… general smooth domains … circler domains …………… general smooth domains … open problem Giebermann (1997) DGS (2006) A High-frequency Galerkin Method DGS (2006)

Plane-wave Scattering Problem II. A High-frequency Galerkin Method DGS (2006)

Plane-wave Scattering Problem II. is an explicitly defined entire function with known asymptotics are smooth periodic functions is not explicitly known but behaves like: A High-frequency Galerkin Method DGS (2006)

Plane-wave Scattering Problem II. is an explicitly defined entire function with known asymptotics are smooth periodic functions is not explicitly known but behaves like: DGS (2006) Melrose, Taylor (1985) A High-frequency Galerkin Method DGS (2006)

Plane-wave Scattering Problem II. A High-frequency Galerkin Method DGS (2006)

Plane-wave Scattering Problem II. for some on the “deep” shadow A High-frequency Galerkin Method DGS (2006)

Plane-wave Scattering Problem II. DGS (2006) for some on the “deep” shadow A High-frequency Galerkin Method DGS (2006)

Polynomial Approximation II. Illuminated Region Deep Shadow Shadow Boundaries A High-frequency Galerkin Method DGS (2006)

Polynomial Approximation II. Illuminated Region Deep Shadow Shadow Boundaries … gluing together A High-frequency Galerkin Method DGS (2006)

Polynomial Approximation II. Illuminated Region Deep Shadow Shadow Boundaries … gluing together A High-frequency Galerkin Method DGS (2006)

Polynomial Approximation II. Illuminated Region Deep Shadow Shadow Boundaries … gluing together … approximation by zero A High-frequency Galerkin Method DGS (2006)

Polynomial Approximation II. Illuminated Region Deep Shadow Shadow Boundaries … gluing together is the optimal choice A High-frequency Galerkin Method DGS (2006)

Galerkin Method II. Illuminated Region Deep Shadow Shadow Boundaries … gluing together Discrete space A High-frequency Galerkin Method DGS (2006)

Galerkin Method II. Illuminated Region Deep Shadow Shadow Boundaries … gluing together Final Estimate A High-frequency Galerkin Method DGS (2006)

Galerkin Method II. Illuminated Region Deep Shadow Shadow Boundaries … gluing together Final Estimate Question Can one obtain a robust Galerkin method that works for higher frequencies as well as low frequencies? A High-frequency Galerkin Method DGS (2006)

Galerkin Method II. Illuminated Region Deep Shadow Shadow Boundaries … gluing together Final Estimate A High-frequency Galerkin Method DGS (2006) In other words higher frequencies: low frequencies: do an approximation on the deep shadow region??

Galerkin Method II. Illuminated Region Deep Shadow Shadow Boundaries … gluing together Final Estimate A High-frequency Galerkin Method DGS (2006)

Galerkin Method II. Illuminated Region Deep Shadow Shadow Boundaries … gluing together Final Estimate A High-frequency Galerkin Method DGS (2006) In other words higher frequencies: low frequencies: do an approximation on the deep shadow region??

New Galerkin Methods III. Illuminated Region Deep Shadow Shadow Boundaries … gluing together … new Galerkin methods Treat these four transition regions separately A straightforward extension of the Galerkin approximation in DGS (2006) applies to deep shadow region New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods Illuminated Region Deep Shadow Shadow Boundaries … gluing together … new Galerkin methods Treat these four transition regions separately A straightforward extension of the Galerkin approximation in DGS (2006) applies to deep shadow region The highly oscillatory integrals arising in the Galerkin matrices can be efficiently evaluated as the stationary phase points are apriory known III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods … optimal III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods Discrete space DGS (2006) III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods Discrete space DGS (2006) DEG (2007) Discrete space defined in a similar way including the deep shadow … first algorithm III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods Discrete space DGS (2006) DEG (2007) Discrete space defined in a similar way including the deep shadow … first algorithm III. New Galerkin methods for high-frequency scattering simulations degrees of freedom

New Galerkin Methods III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods Idea: change of variables III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods … change of variables III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods … change of variables control: derivatives of III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods … change of variables control: derivatives of … but how do we obtain an optimal change of variables? III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods … change of variables control: derivatives of … but how do we obtain an optimal change of variables? … mimic the algorithm and with affine st. III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods … change of variables control: derivatives of … but how do we obtain an optimal change of variables? … mimic the algorithm and with affine st. III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods Discrete space DGS (2006) DEG (2007) … second algorithm Discrete space defined in a similar way including the deep shadow while on the transition regions polynomials are replaced by III. New Galerkin methods for high-frequency scattering simulations

New Galerkin Methods Discrete space DGS (2006) DEG (2007) … first algorithm Discrete space defined in a similar way including the deep shadow degrees of freedom DEG (2007) … second algorithm Discrete space defined in a similar way including the deep shadow while on the transition regions polynomials are replaced by III. New Galerkin methods for high-frequency scattering simulations

References O. P. Bruno, C. A. Geuzaine, J. A. Monro and F. Reitich: Prescribed error tolerances within fixed computational times for scattering problems of arbitrarily high frequency: the convex case, Phil. Trans. Roy. Soc. London 362 (2004), New Galerkin methods for high-frequency scattering simulations D. Huybrechs and S. Vandewalle: A sparse discretisation for integral equation formulations of high frequency scattering problems, SIAM J. Sci. Comput., (to appear). V. Domínguez, I. G. Graham and V. P. Smyshlyaev: A hybrid numerical-asymptotic boundary integral method for high- frequency acoustic scattering, Num. Math. 106 (2007) V. Domínguez, F. Ecevit and I. G. Graham: Improved Galerkin methods for integral equations arising in high- frequency acoustic scattering, (in preparation).

Thanks