numerical approximation of acoustic scattering by fractal
play

Numerical approximation of acoustic scattering by fractal screens - PowerPoint PPT Presentation

UMI, P AVIA , 27 S EPTEMBER 2019 Numerical approximation of acoustic scattering by fractal screens Andrea Moiola http://matematica.unipv.it/moiola/ Joint work with S.N. Chandler-Wilde (Reading), D.P . Hewett (UCL) A. Caetano (Aveiro)


  1. UMI, P AVIA , 2–7 S EPTEMBER 2019 Numerical approximation of acoustic scattering by fractal screens Andrea Moiola http://matematica.unipv.it/moiola/ Joint work with S.N. Chandler-Wilde (Reading), D.P . Hewett (UCL) A. Caetano (Aveiro)

  2. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  3. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  4. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  5. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  6. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  7. Acoustic wave scattering by a planar screen Time-harmonic (sinusoidal in time) acoustic waves are modelled by the Helmholtz equation ∆ u + k 2 u = 0 with wavenumber k > 0 . Scattering: incoming wave u i hits obstacle Γ and generates field u . Γ bounded subset of Γ ∞ := { x ∈ R n : x n = 0 } ∼ = R n − 1 , n = 2 , 3 ∆ u + k 2 u = 0 D := R n \ { Γ × { 0 }} x 3 x 2 u i ( x ) = e i k d · x Γ u = − u i x 1 u satisfies Sommerfeld radiation condition (SRC) at infinity � r ( 1 − n ) / 2 � (i.e. ∂ r u − iku = o uniformly as r = | x | → ∞ ). Classical problem when Γ is open and Lipschitz. What happens for arbitrary (rougher than Lipschitz, e.g. fractal) Γ ? 2

  8. Waves and fractals: applications Wideband fractal antennas (Figures from http://www.antenna-theory.com/antennas/fractal.php ) 3

  9. Waves and fractals: applications Wideband fractal antennas (Figures from http://www.antenna-theory.com/antennas/fractal.php ) Scattering by ice crystals in atmospheric physics e.g. C. Westbrook Fractal apertures in laser optics e.g. J. Christian 3

  10. Scattering by fractal screens · · · Lots of mathematical challenges: ◮ How to formulate well-posed BVPs? (What is the right function space setting? How to impose BCs?) ◮ How do prefractal solutions converge to fractal solutions? ◮ How can we accurately compute the scattered field? ◮ . . . Note: several tools developed here might be used in the (numerical) analysis of different IEs & BVPs involving complicated domains. 4

  11. BVPs & BIEs: long story short... We write Helmholtz BVPs for bounded open and compact screens Γ . These are equivalent to boundary integral equations (BIEs), which can be written as continuous&coercive variational problems find φ ∈ V s.t. A ( φ, ψ ) = F ( ψ ) ∀ ψ ∈ V ( φ = [ ∂ n u ] Neumann jump on Γ ) posed in subspaces of H − 1 / 2 (Γ ∞ ) : H − 1 / 2 ( R n − 1 ) V = � H − 1 / 2 (Γ) := C ∞ 0 (Γ) Γ open, V = H − 1 / 2 := { u ∈ H − 1 / 2 ( R n − 1 ) : supp u ⊂ Γ } Γ compact. Γ ( � H s (Γ) = H s if Γ is C 0 , or thick..., many cases but ∃ counterexamples) Γ H − 1 / 2 (Γ) � How to approximate φ ∈ numerically if Γ is rough/fractal? H − 1 / 2 Γ E.g. Γ hard to mesh, interior is empty, prefractals are not nested...? 5

  12. BVPs & BIEs: long story short... We write Helmholtz BVPs for bounded open and compact screens Γ . These are equivalent to boundary integral equations (BIEs), which can be written as continuous&coercive variational problems find φ ∈ V s.t. A ( φ, ψ ) = F ( ψ ) ∀ ψ ∈ V ( φ = [ ∂ n u ] Neumann jump on Γ ) posed in subspaces of H − 1 / 2 (Γ ∞ ) : H − 1 / 2 ( R n − 1 ) V = � H − 1 / 2 (Γ) := C ∞ 0 (Γ) Γ open, V = H − 1 / 2 := { u ∈ H − 1 / 2 ( R n − 1 ) : supp u ⊂ Γ } Γ compact. Γ ( � H s (Γ) = H s if Γ is C 0 , or thick..., many cases but ∃ counterexamples) Γ H − 1 / 2 (Γ) � How to approximate φ ∈ numerically if Γ is rough/fractal? H − 1 / 2 Γ E.g. Γ hard to mesh, interior is empty, prefractals are not nested...? 5

  13. BVPs & BIEs: long story short... We write Helmholtz BVPs for bounded open and compact screens Γ . These are equivalent to boundary integral equations (BIEs), which can be written as continuous&coercive variational problems find φ ∈ V s.t. A ( φ, ψ ) = F ( ψ ) ∀ ψ ∈ V ( φ = [ ∂ n u ] Neumann jump on Γ ) posed in subspaces of H − 1 / 2 (Γ ∞ ) : H − 1 / 2 ( R n − 1 ) V = � H − 1 / 2 (Γ) := C ∞ 0 (Γ) Γ open, V = H − 1 / 2 := { u ∈ H − 1 / 2 ( R n − 1 ) : supp u ⊂ Γ } Γ compact. Γ ( � H s (Γ) = H s if Γ is C 0 , or thick..., many cases but ∃ counterexamples) Γ H − 1 / 2 (Γ) � How to approximate φ ∈ numerically if Γ is rough/fractal? H − 1 / 2 Γ E.g. Γ hard to mesh, interior is empty, prefractals are not nested...? 5

  14. Mosco convergence Key tool is Mosco convergence for closed subspaces of Hilbert H : M Mosco convergence (1969): H ⊃ V j − − → V ⊂ H if ◮ ∀ v ∈ V , j ∈ N , ∃ v j ∈ V j s.t. v j → v (strong approximability) ◮ ∀ ( j m ) subseq. of N , v j m ∈ V j m , v j m ⇀ v , then v ∈ V (weak closure) Theorem M If H ⊃ V j − − → V ⊂ H and sesquilinear form A is continuous&coercive on H , F ∈ H ∗ , then the sequence φ j of solutions of find φ j ∈ V j s.t. A ( φ j , ψ j ) = F ( ψ j ) ∀ ψ j ∈ V j converges (in the norm of H ) to the solution of find φ ∈ V s.t. A ( φ, ψ ) = F ( ψ ) ∀ ψ ∈ V . We extend this to compactly-perturbed problems. 6

  15. Mosco convergence Key tool is Mosco convergence for closed subspaces of Hilbert H : M Mosco convergence (1969): H ⊃ V j − − → V ⊂ H if ◮ ∀ v ∈ V , j ∈ N , ∃ v j ∈ V j s.t. v j → v (strong approximability) ◮ ∀ ( j m ) subseq. of N , v j m ∈ V j m , v j m ⇀ v , then v ∈ V (weak closure) Theorem M If H ⊃ V j − − → V ⊂ H and sesquilinear form A is continuous&coercive on H , F ∈ H ∗ , then the sequence φ j of solutions of find φ j ∈ V j s.t. A ( φ j , ψ j ) = F ( ψ j ) ∀ ψ j ∈ V j converges (in the norm of H ) to the solution of find φ ∈ V s.t. A ( φ, ψ ) = F ( ψ ) ∀ ψ ∈ V . We extend this to compactly-perturbed problems. 6

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend