A Numerical Method for Shape Optimal Design in the Oseen Flow with Heat Transfer

Abstract

This paper is concerned with the optimal design of an obstacle located in the viscous and incompressible fluid which is driven by the steady-state Oseen equations with thermal effects. The structure of shape gradient of the cost functional is derived by applying the differentiability of a minimax formulation involving a Lagrange functional with a space parametrization technique. A gradient type algorithm is employed to the shape optimization problem. Numerical examples indicate that our theory is useful for practical purpose and the proposed algorithm is feasible.

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Yan, W. , Wang, A. and Guan, G. (2015) A Numerical Method for Shape Optimal Design in the Oseen Flow with Heat Transfer. Journal of Applied Mathematics and Physics, 3, 1295-1307. doi: 10.4236/jamp.2015.310158.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Pironneau, O. (1984) Optimal Shape Design for Elliptic Systems. Springer, Berlin.
http://dx.doi.org/10.1007/978-3-642-87722-3
[2] Mohammadi, B. and Pironneau, O. (2001) Applied Shape Optimization for Fluids. Clardendon Press, Oxford.
[3] Simon, J. (1990) Domain Variation for Drag in Stokes Flow. Proceedings of IFIP Conference in Shanghai, Lecture Notes in Control and Information Science, Springer, New York, 1990.
[4] Bello, J., Fernndez-Cara, E. and Simon, J. (1992) The Variation of the Drag with Respect to the Domain in Navier-Stokes Flow. Optimization, Optimal Control, Partial Differential Equations, International Series of Numerical Mathematics, 107, 287-296.
http://dx.doi.org/10.1007/978-3-0348-8625-3_26
[5] Bello, J., Fernndez-Cara, E., Lemoine, J. and Simon, J. (1997) The Differentiability of the Drag with Respect to the Variations of a Lipschitz Domain in a Navier-Stokes Flow. SIAM Journal on Control and Optimization, 35, 626-640.
http://dx.doi.org/10.1137/S0363012994278213
[6] Delfour, M.C. and Zolésio, J.-P. (2001) Shapes and Geometries: Analysis, Differential Calculus, and Optimization. SIAM, Philadelphia.
[7] Sokolowski, J. and Zolésio, J.-P. (1992) Introduction to Shape Optimization: Shape Sensitivity Analysis. Springer-Verlag, Berlin.
http://dx.doi.org/10.1007/978-3-642-58106-9
[8] Yan, W.J. and Ma, Y.C. (2008) Shape Reconstruction of an Inverse Stokes Problem. Journal of Computational and Applied Mathematics, 216, 554-562.
http://dx.doi.org/10.1016/j.cam.2007.06.006
[9] Yan, W.J. and Ma, Y.C. (2009) The Application of Domain Derivative of Thenonhomogeneous Navier-Stokes Equations in Shape Reconstruction. Computers and Fluids, 38, 1101-1107.
http://dx.doi.org/10.1016/j.compfluid.2008.11.003
[10] Yan, W.J., He, Y.L. and Ma, Y.C. (2012) A Numerical Method for the Viscous Incompressible Oseen Flow in Shape Reconstruction. Applied Mathematical Modelling, 36, 301-309.
http://dx.doi.org/10.1016/j.apm.2011.05.058
[11] Chenais, D., Monnier, J. and Vila, J.P. (2001) A Shape Optimal Design Problem with Convective Radiative Thermal transfer. Journal of Optimazation Theory and Applications, 110, 75-117.
http://dx.doi.org/10.1023/A:1017543529204
[12] Pironneau, O. (1988) Optimal Shape Design by Local Boundary Variations. Springer-Verlag, Berlin.
[13] Hadamard, J. (1907) Mémoire sur le problème d'analyse relatif à l'équilibre des plaques élastiques encastrées. Mémoire des savants étrangers, 33, 515-629.
[14] Simon, J. (1980) Differentiation with Respect to the Domain in Boundary Value Problems. Numerical Functional Analysis and Optimization, 2, 649-687.
http://dx.doi.org/10.1080/01630563.1980.10120631
[15] Dogan, G., Morin, P., Nochetto, R.H. and Verani, M. (2007) Discrete Gradient Flows for Shape Optimization and Applications. Computer Methods in Applied Mechanics and Engineering, 196, 3898-3914.
http://dx.doi.org/10.1016/j.cma.2006.10.046
[16] Temam, R. (2001) Navier Stokes Equations, Theory and Numerical Analysis. AMS Chelsea, Rhode Island.

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