influence of singularities in rounded corners les coins
play

Influence of singularities in rounded corners (Les coins ronds) - PowerPoint PPT Presentation

e IRMAR ` ` e R egularit e et singularit es en optimisation de forme et fronti` eres libres GDR Applications nouvelles de loptimisation de forme" 21-23 octobre 2004, Ker Lann Influence of singularities in rounded corners


  1. e IRMAR ` ` e R´ egularit´ e et singularit´ es en optimisation de forme et fronti` eres libres GDR “Applications nouvelles de l’optimisation de forme" 21-23 octobre 2004, Ker Lann Influence of singularities in rounded corners (Les coins ronds) Monique D AUGE . Adaptation libre d’un article avec Gabriel C ALOZ , Martin C OSTABEL et Gr´ egory V IAL Institut de Recherche MAth´ ematique de Rennes http://perso.univ-rennes1.fr/Monique.Dauge

  2. e IRMAR ` ` eLaplace operator in polygonal domains 1 Let Ω be a polygonal domain in R 2 . Let u be solution of the Dirichlet problem ♣ Polygons ♥ Rounded corn. ∆ u = f in Ω u = 0 on ∂ Ω . and ♥ Convergence? At each of the corners c of Ω , the solution u has singular parts: ♥ Starting • If f is smooth and flat enough, and if the sides of Ω are straight ♥ Profiles K sin kπ � a k r kπ/ω ω θ c + O ( r Kπ/ω u = ) , r c → 0 . ♥ Substitution c c k =1 ♥ Multiscale Here: ( r c , θ c ) polar coord. centered in c and ω = ω c opening of Ω at c . ♥ Estimates The coefficients a k depend on f . • If the sides of Ω are curved around c and exponents kπ ♥ Zig-zag ω are not integers: ♥ Cracked K L k � � r ℓ + kπ/ω ϕ k,ℓ ( θ c ) + O ( r Kπ/ω u = a k ) , r c → 0 . c c ♥ Generalizations k =1 ℓ =0 ♥ Coefficients Here the angular functions ϕ k,ℓ ( θ c ) depend on the curved sides. ♥ Conclusion kπ • If some exponents are integers logarithmic terms may appear, except ω in the situation of a curved crack, despite the fact that kπ ω = k 2 can be integer! The above splittings can be realized between Sobolev spaces...

  3. e IRMAR ` ` eRounded corners 2 ♥ Polygons The same Dirichlet problem has no singularities if Ω is smooth... Thus if the corners of the polygon are “rounded" by small arcs of circles. ♣ Rounded corn. Let us define the radius of these circles as a small parameter ε , and index the ♥ Convergence? domain accordingly: Ω ε . The limiting polygon is denoted by Ω 0 . ♥ Starting Example of “the" corner of a circular sector of opening 270 ◦ , rounded with two ♥ Profiles values of ε . ♥ Substitution ♥ Multiscale 1 1 ♥ Estimates Ω ε , ε = Ω ε , ε = 10 20 ♥ Zig-zag ♥ Cracked ♥ Generalizations ♥ Coefficients Let u ε be the solution of the Dirichlet pb in Ω ε and u 0 the solution in Ω 0 . ♥ Conclusion In principle, we expect that u ε → u 0 in energy as ε → 0 . How are the singularities of u 0 hiding inside u ε ?

  4. e IRMAR ` ` eRounded corners... from inside or outside? 3 Example of “the" corner of a circular sector of opening 270 ◦ , ♥ Polygons rounded by two different procedures. ♥ Rounded corn. From inside ( C 1 Bezier curve). ♣ Convergence? From outside (exterior arc of circle). Ω 0 ⊂ Ω ε . Ω ε ⊂ Ω 0 . ♥ Starting In red Ω ε \ Ω 0 . In blue Ω 0 \ Ω ε . ♥ Profiles ♥ Substitution ♥ Multiscale Ω ε Ω ε ♥ Estimates ♥ Zig-zag ♥ Cracked ♥ Generalizations ♥ Coefficients For convex angles (the exterior of the sector) the situation is reversed. ♥ Conclusion What is the meaning of a convergence of u ε towards u 0 ? We try to give answers with the help of multi-scale expansions.

  5. e IRMAR ` ` eStarting the expansion 4 ♥ Polygons Fix the rhs f . Decompose ( “deconstruct" ) u 0 : ♥ Rounded corn. � � u 0 ,N = O ( r N ) . π 2 π ω + a 2 π ω + · · · + u 0 ,N , u 0 = χ ( r ) a π ω S ω S ♥ Convergence? Here χ ≡ 1 near the corner c and χ ≡ 0 outside a region where Ω 0 ♣ Starting kπ coincides with a plane sector of opening ω . The function S is the k -th ω singularity. ♥ Profiles By a dilatation of ratio ε − 1 and Near c , the domains Ω ε are self-similar. ♥ Substitution making ε → 0 ( “blow-up" ) we obtain an infinite domain Q which coincides ♥ Multiscale with a infinite sector of opening ω when R → ∞ and reproduces the pattern of Ω ε at finite distance. ♥ Estimates ♥ Zig-zag ♥ Cracked R → ∞ ♥ Generalizations 1 Ω ε , ε = Q 10 ♥ Coefficients ♥ Conclusion

  6. e IRMAR ` ` eThe fundamental result on profiles 5 ♥ Polygons Let R be the distance to the origin in Q . Relations between slow ( r ) and rapid ( R ) variables through the singularities ♥ Rounded corn. R = r S λ ( r ) = ε λ S λ � r � = ε λ S λ ( R ) ♥ Convergence? and ε ε ♥ Starting The singularities S λ ( r ) can be viewed as profiles at infinity S λ ( R ) , with the singularity exponents λ ∈ { π ω , 2 π ω , 3 π ♣ Profiles ω , · · · } ♥ Substitution Theorem 1. ω , · · · } , there exists a solution K λ ∈ H 1 For λ ∈ { π ω , 2 π ω , 3 π loc ( Q ) to: ♥ Multiscale ∆ K λ = 0 ♥ Estimates  in Q,    K λ = 0 ♥ Zig-zag ∂Q, on  K λ − S λ = O ( R λ )  R → ∞ . ♥ Cracked  ♥ Generalizations Moreover, there exist homogeneous functions K λ, − µ of degree − µ , µ ∈ { π ω , 2 π ω , 3 π ω , · · · } such that for all M > 0 ♥ Coefficients K λ − S λ = K λ, − µ + O ( R − M ) , � ♥ Conclusion R → ∞ . µ = π ω , 2 π ω , ··· , j π ω ≤ M Proof: (i) cut-off by ψ , (ii) variational formulation on Q , (iii) Mellin transform.

  7. e IRMAR ` ` eThe substitution trick 6 ♥ Polygons Recall: χ ≡ 1 near the corner, with support where Ω 0 coincides with a sector ♥ Rounded corn. a λ S λ + u 0 ,N , u 0 ,N = O ( r N ) . � u 0 = χ ( r ) λ ∈ Λ N ♥ Convergence? � π ω , 2 π ω , · · · , j π � Here Λ N = ω ≤ N . ♥ Starting Cut-off ψ : ψ ≡ 1 near infinity, with support where Q coincides with a sector. � x ♥ Profiles � is defined on Ω ε and is ≡ 1 outside a ball B ( c, κε ) . By convention, ψ ε ♣ Substitution Ansatz for u ε a λ ε λ χ ( r ) K λ � r � r � � u 0 ,N + ρ 1 ♥ Multiscale � u ε = + ψ ε , ε ε λ ∈ Λ N ♥ Estimates Theorem 2. ♥ Zig-zag The remainder ρ 1 ε solves ♥ Cracked  � � ∆ ρ 1 ε λ + µ f λ,µ ( x ) + O ( ε N ) , ε = Ω ε , in ♥ Generalizations   λ ∈ Λ N µ ∈ Λ N ♥ Coefficients ρ 1  ε = 0 , ∂ Ω ε . on  ♥ Conclusion 2 π ρ 1 ω ) . ε = O ( ε Consequence: K λ � x − S λ � x using Theorem 1 and ∆ S λ = 0 . � � � ��� Proof: Develop ∆ χ ε ε

  8. e IRMAR ` ` eA multiscale expansion for u ε 7 ♥ Polygons We fix N > 0 . The solution u ε can be split into pieces according to � r � r ♥ Rounded corn. � u 0 ,N + � � ε λ ψ u λ,N − λ u ε = ψ ε ε ♥ Convergence? λ ∈ Λ N χ ( r ) K λ � r ε λ � a λ,µ ε µ � � � � + O ( ε N ) , + a λ + ♥ Starting ε λ ∈ Λ N µ ∈ Λ N ♥ Profiles ε → 0 . as ♥ Substitution The a λ,µ are coefficients. The functions u λ,N − λ are O ( r N − λ ) as r → 0 . ♣ Multiscale ♥ Estimates � x � Support of ψ Support of χ ( r ) ε ♥ Zig-zag ♥ Cracked ♥ Generalizations ♥ Coefficients ♥ Conclusion

  9. eEnergy ( H 1 ) estimates and H 2 estimates e IRMAR ` ` 8 The three pieces (bleu-blanc-rouge) of the H 1 norm of “ u ε − u 0 " ♥ Polygons The worst term (provided a π ω � = 0 ). ♥ Rounded corn. The strength in ε -power. ♥ Convergence? � u 0 � 1 , Ω 0 \ Ω ε � u ε − u 0 � 1 , Ω ε ∩ Ω 0 � u ε � 1 , Ω ε \ Ω 0 ♥ Starting � r � r � r � � �� � π π π π π π ω ( x ) ω χ ( r ) ω K − S S ε ε K ♥ Profiles ω ω ω ε ε ε π π π ♥ Substitution ω ) ω ) ω ) O ( ε O ( ε O ( ε ♥ Multiscale We have a C 1 dependence in ε if and only if ♣ Estimates the “rounded" corners are convex. ♥ Zig-zag The limit u 0 belongs to H 2 (Ω 0 ) iff π ω ≥ 1 . ω � x ♥ Cracked The H 2 -norm of u ε is equivalent (as ε → 0 ) to � ε π π � ω χ ( r ) K � 2 , Ω ε : ε ♥ Generalizations  π 1 ω ≥ 1 if ω � x ω } =  ♥ Coefficients π π π ω − 1 ε min { 0 , 1 − π ω χ ( r ) K � � ε � 2 , Ω ε ≃ ε ε π π ω − 1 ω < 1 . ε if  ♥ Conclusion What happens if the self-similar perturbation at a corner contains itself one or more corners?

  10. e IRMAR ` ` eZig-zag corners 9 ♥ Polygons The perturbed domain for two values of ε , the limit domain, the profile domain. ♥ Rounded corn. ♥ Convergence? 1 1 Ω ε , ε = Ω ε , ε = 10 20 ♥ Starting ♥ Profiles ♥ Substitution ♥ Multiscale ♥ Estimates ♣ Zig-zag R → ∞ ♥ Cracked Ω 0 Q ♥ Generalizations ♥ Coefficients ♥ Conclusion

  11. e IRMAR ` ` eCracked corners 10 ♥ Polygons The perturbed domain for two values of ε , the limit domain, the profile domain. ♥ Rounded corn. ♥ Convergence? 1 1 Ω ε , ε = Ω ε , ε = 10 20 • ♥ Starting • d ε d ε ♥ Profiles ♥ Substitution ♥ Multiscale ♥ Estimates ♥ Zig-zag R → ∞ • ♣ Cracked d Ω 0 Q ♥ Generalizations ♥ Coefficients ♥ Conclusion

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