Shape Optimization Problem for Incompressible Viscous Flow based on Optimal Control Theory

Ochiai, Tsumoru; Kawahara, Mutsuto

doi:10.4203/ccp.73.98

Cited by 1 publication

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“…It makes use of adjoint equations to facilitate finding the gradient for objective function with respect to design variables. For additional details about this shape optimization problem and adjoint equations-based method, see [17,16,4,10,11,9,3,15,6,13,5,1,14].…”

Section: Introductionmentioning

confidence: 99%

QuaCGR Fellowship: Adiabatic Quantum Algorithms

Liu¹

2008

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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Executive SummaryA semi-analytical approach to three-dimensional (3-D) shape optimization problems for a viscous incompressible fluid under the assumption of zero (low) Reynolds number has been developed. It couples the theory of generalized analytic functions with the adjoint equations-based method. A solution to Stokes equations governing the behavior of the fluid has been reduced to integral equations based on the Cauchy integral formula for k-harmonically analytic functions. The fluid velocity and boundary shape are the state and design variables, respectively, and a shape optimization problem is to find shape minimizing the energy dissipation rate. In contrast to the classical optimal control theory, the shape optimization problem has been formulated as an optimal control problem with constraints in the form of integral equations. The optimality conditions (state, adjoint and design equations) for the optimal control problem have been derived. The advantage of the suggested approach is that the state and adjoint variables are single-variable functions, which being represented analytically in the form of series with unknown coefficients, can be accurately determined from the state and adjoint integral equations, for example, by minimizing the total squared error. The optimal shape has been found iteratively by a gradient-based method, in which at each iteration, the state and adjoint variables have been determined for an updated shape and the gradient for the cost functional with respect to the shape has been obtained by the adjoint equations-based method. The suggested semianalytical approach has been illustrated for the drag minimization problem for motion of a solid body of revolution in the viscous incompressible fluid and has proved to be efficient and accurate.

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Section: Introductionmentioning

confidence: 99%

QuaCGR Fellowship: Adiabatic Quantum Algorithms

Liu¹

2008

View full text Add to dashboard Cite

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Shape Optimization Problem for Incompressible Viscous Flow based on Optimal Control Theory

Cited by 1 publication

References 2 publications

QuaCGR Fellowship: Adiabatic Quantum Algorithms

QuaCGR Fellowship: Adiabatic Quantum Algorithms

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