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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 91
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING
Edited by: B.H.V. Topping, L.F. Costa Neves and R.C. Barros
Paper 60

A Shape Optimization Method of a Body Located in Viscous Flow using Acoustic Velocity

K. Terachi and M. Kawahara

Department of Civil Engineering, Chuo University, Tokyo, Japan

Full Bibliographic Reference for this paper
K. Terachi, M. Kawahara, "A Shape Optimization Method of a Body Located in Viscous Flow using Acoustic Velocity", in B.H.V. Topping, L.F. Costa Neves, R.C. Barros, (Editors), "Proceedings of the Twelfth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 60, 2009. doi:10.4203/ccp.91.60
Keywords: shape optimization, optimal control theory, acoustic velocity, finite element method, Lagrange multiplier method, weighted gradient method, fluid force.

Summary
The purpose of this paper is to find an optimal shape of a body located in the viscous flow using the acoustic velocity. The optimal shape is defined so as to minimize the fluid forces acting on the body. In this paper, the formulation is based on an optimal control theory, in which a performance function is expressed in terms of the fluid force. The performance function should be minimized satisfying state equations. Therefore, the optimal control problem results in the minimization problem with constraint conditions. The problem can be transformed into a minimization problem without a constraint condition using the Lagrange multiplier method. The minimization technique used is the gradient based method. For the discretization, the finite element method is used for the state and adjoint equations. The shape determination of the minimum drag and lift forces is carried out.

In this study, the shape optimization in the viscous flow using the acoustic velocity is presented. The formulation based on the optimal control theory is applied to the viscous flow using the acoustic velocity. The volume of the target body is kept constant. The gradient which is obtained by the variation of the extended performance function for the surface coordinates is used to obtain the final shape. The method of this study has been applied to a shape optimization problem for flows of the Reynolds number of 1, 40, 100 and 250.

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