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Une Methode de partition de domaine pour l'equation d'advection-diffusion

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(1)Une Methode de partition de domaine pour l’equation d’advection-diffusion Pierre Aubert, Marie-Claude Ciccoli, Jean-Antoine Desideri. To cite this version: Pierre Aubert, Marie-Claude Ciccoli, Jean-Antoine Desideri. Une Methode de partition de domaine pour l’equation d’advection-diffusion. [Rapport de recherche] RR-1740, INRIA. 1992. �inria-00076979�. HAL Id: inria-00076979 https://hal.inria.fr/inria-00076979 Submitted on 29 May 2006. HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés..

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(155) Nombre d’iterations de gradient pour chaque iteration en temps 2.2 "fort.8" 2.15. ITER GRADIENT. 2.1. 2.05. 2. 1.95. 1.9. 1.85. 1.8 0. 10. 20. rh WzeX. 30. Z#'`c A a. 40 50 60 ITER EN TEMPS.     }‡nW\. 70. 80. 90. 100. eX ZwV hy_‚ZUf X T!_[hynˆQSg. T=1*Deltat T : evolution de la solution a chaque iteration 1 "fort.15". Solution U. 0.8. 0.6. 0.4. 0.2. 0 0. 0.2. 0.4. 0.6. #'Yc a     '. vxnˆpyze_ hynWQ T . Abscisse X. rhˆzeX[Z. 0.8. . 1.

(156) T=6*Deltat T : evolution de la solution a chaque iteration 1 "fort.3". Solution U. 0.8. 0.6. 0.4. 0.2. 0 0. 0.2. 0.4. #'`c 'a    . 0.6. vxnWpqze_[hqnWQ T . Abscisse X. rhˆzeX[Z. 'I'. 0.8.  - . 1.

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(247) M.   3  .    4   3   3 N   :   3   3  3 0   3 c  T RonˆQSV`hq_[hynˆQT z SnˆX V Z gi_V`Z _ >`€SZ xT!zSg[g'hyZUQ‚QeZxcl   +`c A 'Yc  Z Q‚nW\ eX[Z V" hy_‚ZUf X T!_[hqnWQSg V`Z p T!pˆnWX[hq_[e\ Zwg'Z V Z f WX TWV`ZxcSdZ €‚pyzSg@hqpQ  Z!g'_@€STˆg. V@Z!f RoX nWhƒg g[T!Q`_T!z2RonˆzeX g|T!z2RonˆzeX gV`z_[ZU\ €SgocSl   +`c + Y+ c T V Z f RoX[nˆhƒg[g T QSR Z VYz%R X[hy_‚ZUf X[#Z ŒZ gi_|_[X Z! g@pyZ^Q`_ Zw\T hjgX‚Z f WzepqhZU X Zxc. +.

(248) Wed Jun 24 18:25:36 1992. 1.5 1. 1.25. U(X,Y). 1.75. 2. Advection diffusion : partition. 0. Y. 0. 0.15. 0.333 0.3. rh WzeX. 0.667 1. X. Z#+`c(+al TWg'„ _ Z!gi_ l#enYRMal#nWQSV`hq_[hqnWQhyQehq_[hjT pyZ. +I'.

(249) Wed Jun 24 18:25:09 1992. 1.5 1. 1.25. U(X,Y). 1.75. 2. Advection diffusion : partition. 0. Y. 0. 0.15. 0.333 0.3. #+YcB&al TWgi„ _[Z gi_. rhˆzeX[Z. 0.667 1. X. l#enYR avxnˆpyze_ hynˆQ  SQ T pqZT $. +I+. & .

(250) 2 "fort.91" "fort.92" "fort.93" "fort.94". 1.9. Profil de l’interface. 1.8 1.7 1.6 1.5 1.4 1.3 1.2 1.1 1 0. 0.05. 0.1. #+`c *]al TWg'„ _ Z!gi_. rhˆzeX[Z. 0.15. 0.2. 0.25. 0.3. 0.35. l#enYR aSP xnˆpyze_ hynWQV`Z g WT!pyZUz‚X g T‹ p hqQ`_ ZUX†TˆRoZ Y. 160. Iterations de l’algorithme de descente. "fort.200" 140. 120. 100. 80. 60. 40. 20. 0 1. DhWz‚X[Z. g RoZUQY_[Z. 1.2. 1.4. 1.6. +`c -Fal TWg'„ _ Z!gi_l#enYR a#}‡nW\. 1.8 2 2.2 Iterations en temps. 2.4. 2.6. 2.8. 3. eX[Z V hy_‚Z^f X T _ hynˆQSg €SnWz‚X p T p WnˆX[hy_ e\]Z V`ZV`ZU„. +&.

(251) 2 "fort.101" 1.8 1.6. Valeur de J. 1.4 1.2 1 0.8 0.6 0.4 0.2 0 0. #+`c . rhˆzeX[Z. 20. 40. 60. 80 Iterations. 100. 120. 140. al Tˆgi„ _[Z!g'_ l#‚nYR a T pqZUzeX|VYZ" SR X[hy_ ZU X[Z V`Z RonWQ xZUX ˆZUQSRoZ T . 160. . 0.0002 "fort.102". 0.00018. Valeur de J. 0.00016. 0.00014. 0.00012. 0.0001. 8e-05 1. #+`c =. DhWz‚X[Z. 1.5. 2. 2.5 Iterations. 3. 3.5. aSl TWgi„ _[Z gi_ l#enYRMa! T pqZUzeXV`Z#" SRoX hy_ ZU X[Z VYZ R nWQ xZUX ˆZUQSRoZ T $. +I*. 4. ' .

(252) 0.0009 "fort.103" 0.0008. 0.0007. Valeur de J. 0.0006. 0.0005. 0.0004. 0.0003. 0.0002. 0.0001. 0 0. #+`c @. DhWz‚X[Z. 2. 4. 6. 8 Iterations. 10. 12. 14. aSl TWgi„ _[Z gi_ l#enYRMa! T pqZUzeXV`Z#" SRoX hy_ ZU X[Z VYZ R nWQ xZUX ˆZUQSRoZ T $. +I-. 16. + .

(253) Wed Jun 24 19:13:49 1992. 0.5 0. 0.25. U(X,Y). 0.75. 1. Advection diffusion : partition. 0. Y. 0. 0.15. 0.333 0.3. #+`c 9A. rhˆzeX[Z. 0.667 1. X. a6l Tˆgi„ _[Z!g'_%tT zSg g al#nˆQSV`hy_ hynˆQ%hyQ‚hy_[hjT pqZ. +.

(254) Wed Jun 24 19:29:55 1992. -3.96 -8.92. -6.44. U(X,Y). -1.48. 1. Advection diffusion : partition. 0. Y. 0. 0.15. 0.333 0.3. rh WzeX. 0.667 1. X. Z$+Yc I aSl TWgi„ _[Z gi_%tT z g[g avxnWpqze_[hqnWQ S QST!pyZ. +I=.

(255) 1 "fort.91" "fort.92" "fort.93" "fort.94". 0. Profil de l’interface. -1. -2. -3. -4. -5. -6 0. 0.05. 0.1. #+`c 'al TWgi„ _[Z gi_ %wT!zSg[g. DhWz‚X[Z. 0.15. 0.2. 0.25. 0.3. 0.35. aSP xnˆpyze_ hynˆQV`Z!g ˆT pyZ^zeX g T‹ p hyQY_[ZUX †TWRoZ Y. 1000 "fort.200". Iterations de l’algorithme de descente. 900 800 700 600 500 400 300 200 100 0 1. DhWz‚X[Z. g RoZUQY_[Z. +Yc +. 2. 3. 4 5 Iterations en temps. 6. 7. 8. al TWg'„ _ Z!gi_%tT!zSg[g‹aS}‡nˆ\ eX Z V hy_‚Z^f X T _ hynˆQSg €SnˆzeXwp T p WnWX hy_ e\]Z V`Z V`ZU„. +I@.

(256) 0.7 "fort.101" 0.6. Valeur de J. 0.5. 0.4. 0.3. 0.2. 0.1. 0 0. 100. 200. 300. 400. 500 600 Iterations. 700. 800. 900. 1000. Z$+Yc %& al Tˆgi„ _[Z!g'_ t% T z g[g a @T!pyZUz‚XV`Z#" eRoX hy_ Z^ X[Z V`Z RonˆQxZ^X WZ^QSRoZ T . rh WzeX. 0.022 "fort.102" 0.02. Valeur de J. 0.018. 0.016. 0.014. 0.012. 0.01. 0.008 1. 2. 3. #+Yc *a6l Tˆgi„ _[Z!g'_%tT zSg g. rhˆzeX[Z. 4 5 Iterations. 6. 7. a T!pyZUzeX V`Z#" SRoX[hq_ ZU X Z V`Z RonˆQxZUXWZUQ RoZ T . &A. 8. ' .

(257) 0.1 "fort.103" 0.09 0.08. Valeur de J. 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0 0. 20. 40. #+Yc -a6l Tˆgi„ _[Z!g'_%tT zSg g. rhˆzeX[Z. 60. 80 Iterations. 100. 120. 140. a T!pyZUzeX V`Z#" SRoX[hq_ ZU X Z V`Z RonˆQxZUXWZUQ RoZ T . &. 160. + .

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