2014
DOI: 10.1080/17415977.2014.939653
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A pseudo-compressibility method for solving inverse problems based on the 3D incompressible Euler equations

Abstract: A numerical technique to solve the three-dimensional inverse problems that arise in aerodynamic design is presented. The approach, which is well established for compressible flows, is extended to the incompressible case via artificial compressibility preconditioning. The modified system of equations is integrated with a characteristic-based Godunov method. The solution of the inverse problem is given as the steady state of an ideal transient during which the flow field assesses itself to the boundary condition… Show more

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Cited by 12 publications
(4 citation statements)
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“…The aerodynamic design problem is reformulated here as an inverse problem [7,8] and coupled with an evolutionary optimizer based on Genetic Algorithms (GA) [9]. It is well known that GAs require a large number of iteration to converge.…”
Section: Mathematical Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…The aerodynamic design problem is reformulated here as an inverse problem [7,8] and coupled with an evolutionary optimizer based on Genetic Algorithms (GA) [9]. It is well known that GAs require a large number of iteration to converge.…”
Section: Mathematical Modelmentioning
confidence: 99%
“…The numerical solution is based on an OpenMP implementation of the shock-capturing Godunov method with Flux-Difference Splitting and second-order accurate Essentially Non-Oscillatory reconstruction scheme [12]. The URANS solver accuracy has been widely tested in many unsteady compressible flowfield involving stalled flows [13], moving grids [8], flow-instabilities [14].…”
Section: Flow Governing Equationsmentioning
confidence: 99%
“…The numerical method has been efficiently parallelized by using OpenMP directives. The spatial and time accuracy of the solver has been widely tested in many unsteady compressible flowfields as, for instance, the flow manipulation by synthetic jets and poststall control of NACA0015 profile [22]; the simulation of rotating stall generation and evolution [25]; time-dependent flows with moving grids [26,27]; and the computation of aeroelastic standard configurations and blade flutter. The computational domain is bounded by artificial (i.e., far-field) boundaries and physical contours (i.e., impermeable walls).…”
Section: Mathematical Modelmentioning
confidence: 99%
“…Methodology for the scalar Burger's equation was presented by Lellouche et al [38] in which the authors aimed to find the best approximation for the measured data by means of boundary control and an adjoint approach. Ferlauto [13] obtained optimal geometric shapes for aerodynamic bodies by solving an inverse problem for the three-dimensional incompressible Euler equations. Numerical computation of the optimization problems for conservation laws have been studied extensively due to the theoretical and numerical challenges that arise.…”
mentioning
confidence: 99%