0000000000052086

AUTHOR

Raino A. E. Mäkinen

showing 19 related works from this author

Shape optimization of elasto-plastic bodies under plane strains: Sensitivity analysis and numerical implementation

1992

Optimal shape design problems for an elastic body made from physically nonlinear material are presented. Sensitivity analysis is done by differentiating the discrete equations of equilibrium. Numerical examples are included.

Mathematical optimizationControl and OptimizationPlane (geometry)Structural mechanicsMathematical analysisGeneral EngineeringOptimal controlComputer Graphics and Computer-Aided DesignFinite element methodComputer Science ApplicationsNonlinear systemControl and Systems EngineeringShape optimizationSensitivity (control systems)SoftwareMathematicsPlane stressStructural Optimization
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On a topology optimization problem governed by two-dimensional Helmholtz equation

2015

The paper deals with a class of shape/topology optimization problems governed by the Helmholtz equation in 2D. To guarantee the existence of minimizers, the relaxation is necessary. Two numerical methods for solving such problems are proposed and theoretically justified: a direct discretization of the relaxed formulation and a level set parametrization of shapes by means of radial basis functions. Numerical experiments are given.

Computational MathematicsControl and OptimizationLevel setLevel set methodDiscretizationHelmholtz equationApplied MathematicsNumerical analysisTopology optimizationMathematical analysisRelaxation (approximation)ParametrizationMathematicsComputational Optimization and Applications
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Hierarchical Evolutionary Algorithms and Noise Compensation via Adaptation

2007

Hierarchical Evolutionary Algorithms (HEAs) are Nested Algorithms composed by two or more Evolutionary Algorithms having the same fitness but different populations. More specifically, the fitness of a Higher Level Evolutionary Algorithm (HLEA) is the optimal fitness value returned by a Lower Level Evolutionary Algorithm (LLEA). Due to their algorithmic formulation, the HEAs can be efficiently implemented in Min-Max problems. In this chapter the application of the HEAs is shown for two different Min-Max problems in the field of Structural Optimization. These two problems are the optimal design of an electrical grounding grid and an elastic structure. Since the fitness of a HLEA is given by a…

Human-based evolutionary computationComputer scienceCultural algorithmGenetic algorithmEvolutionary algorithmMemetic algorithmInteractive evolutionary computationAlgorithmEvolutionary computationEvolutionary programming
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Optimal design for transonic flows

1991

The feasibility of finite element and mathematical programming methods for finding an optimal shape for an symmetric airfoil in case of transonic flow is studied. The state problem is solved using multigrid-technique. Numerical examples are given.

Physics::Fluid DynamicsAirfoilOptimal designMultigrid methodComputer scienceApplied mathematicsState (computer science)TransonicFinite element method
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A boundary controllability approach in optimal shape design problems

2005

We indicate a formulation of optimal shape design problems as boundary control problems, based on some approximate controllability-type results. Numerical examples and a comparison with the standard method are included.

ControllabilityShape designControl theoryComputer scienceBoundary (topology)Shape optimization
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Finite-element design sensitivity analysis for non-linear potential problems

1990

Design sensitivity analysis is performed for the finite-element system arising from the discretization of non-linear potential problems using isoparametric Lagrangian elements. The calculated sensitivity formulae are given in a simple matrix form. Applications to the design of electromagnets and airfoils are given.

AirfoilDiscretizationElectromagnetComputer programGeneral EngineeringFinite element methodlaw.inventionNonlinear systemlawSimple (abstract algebra)Applied mathematicsSensitivity (control systems)AlgorithmMathematicsCommunications in Applied Numerical Methods
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Shape optimization for Stokes problem with threshold slip boundary conditions

2017

This paper deals with shape optimization of systems governed by the Stokes flow with threshold slip boundary conditions. The stability of solutions to the state problem with respect to a class of domains is studied. For computational purposes the slip term and impermeability condition are handled by a regularization. To get a finite dimensional optimization problem, the optimized part of the boundary is described by B´ezier polynomials. Numerical examples illustrate the computational efficiency. peerReviewed

kitkaOptimization problemfrictionfinite element methodBézier curve02 engineering and technologySlip (materials science)variational inequality01 natural sciencesPhysics::Fluid Dynamics0202 electrical engineering electronic engineering information engineeringDiscrete Mathematics and CombinatoricsShape optimizationBoundary value problem0101 mathematicsform (structural)Mathematicsta113matematiikkamathematicsApplied Mathematicsta111010102 general mathematicsMathematical analysisStokes flowFinite element methodelementtimenetelmäClassical mechanicsStokes problemshape optimizationVariational inequality020201 artificial intelligence & image processingfriction boundary conditionAnalysisDiscrete & Continuous Dynamical Systems - S
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Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms

1999

SUMMARY A multiobjective multidisciplinary design optimization (MDO) of two-dimensional airfoil is presented. In this paper, an approximation for the Pareto set of optimal solutions is obtained by using a genetic algorithm (GA). The first objective function is the drag coefficient. As a constraint it is required that the lift coefficient is above a given value. The CFD analysis solver is based on the finite volume discretization of the inviscid Euler equations. The second objective function is equivalent to the integral of the transverse magnetic radar cross section (RCS) over a given sector. The computational electromagnetics (CEM) wave field analysis requires the solution of a two-dimensi…

Mathematical optimizationElectromagneticsHelmholtz equationFictitious domain methodApplied MathematicsMechanical EngineeringMultidisciplinary design optimizationComputational MechanicsSolverComputer Science ApplicationsEuler equationssymbols.namesakeMechanics of MaterialssymbolsComputational electromagneticsShape optimizationMathematicsInternational Journal for Numerical Methods in Fluids
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Shape Sensitivity Analysis and Gradient-Based Optimization of Large Structures Using MLFMA

2014

A fast method for computing the action of shape-differentiated electric field integral equation (EFIE) system matrix to a vector is derived exploiting the multilevel fast multipole algorithm (MLFMA). The proposed method is used in conjunction with the adjoint-variable method (AVM) to compute the shape gradient of arbitrary objective functions depending on shape of a metallic scatterer. The method is demonstrated numerically by optimizing the shape of a parabolic reflector illuminated with a half-wave dipole.

ta113DipoleParabolic reflectorGradient based algorithmMathematical analysisShape gradientSensitivity (control systems)Electrical and Electronic EngineeringElectric-field integral equationMultipole expansionAction (physics)MathematicsIEEE Transactions on Antennas and Propagation
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The parameter identification in the Stokes system with threshold slip boundary conditions

2020

The paper is devoted to an identification of the slip bound function g in the Stokes system with threshold slip boundary conditions assuming that g depends on the tangential velocity 𝑢𝜏 . To this end the optimal control approach is used. To remove its nonsmoothness we use a regularized form of the slip conditions in the state problem. The mutual relation between solutions to the original optimization problem and the problems with regularized states is analyzed. The paper is completed by numerical experiments. peerReviewed

PhysicsPhysics::Fluid Dynamicsthreshold slip boundary conditionsStokes system with slip conditionsApplied MathematicsComputational MechanicsparametritMechanicsSlip (materials science)Boundary value problemparameter identification in flow models
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Controllability-type properties for elliptic systems and applications

1991

We consider approximate and exact controllability results for elliptic problems. These results enable one to formulate optimal shape design problems in a fixed domain with certain boundary conditions.

ControllabilityShape designElliptic systemsMathematical analysisBoundary value problemType (model theory)MathematicsDomain (software engineering)
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A variational inequality approach to the problem of the design of the optimal covering of an obstacle

2005

Mathematical optimizationObstacleVariational inequalityObstacle problemMathematics
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Parameter identification for heterogeneous materials by optimal control approach with flux cost functionals

2021

The paper deals with the identification of material parameters characterizing components in heterogeneous geocomposites provided that the interfaces separating different materials are known. We use the optimal control approach with flux type cost functionals. Since solutions to the respective state problems are not regular, in general, the original cost functionals are expressed in terms of integrals over the computational domain using the Green formula. We prove the existence of solutions to the optimal control problem and establish convergence results for appropriately defined discretizations. The rest of the paper is devoted to computational aspects, in particular how to handle high sens…

General Computer ScienceComputer scienceFlux010103 numerical & computational mathematicsType (model theory)01 natural sciencesTheoretical Computer ScienceDomain (software engineering)sensitivity analysisConvergence (routing)Applied mathematicsSensitivity (control systems)0101 mathematicskomposiititosittaisdifferentiaaliyhtälötNumerical AnalysisApplied Mathematicsidentification of conductivity coefficientsState (functional analysis)matemaattinen optimointiOptimal control010101 applied mathematicsIdentification (information)säätöteoriaModeling and Simulationnumeerinen analyysioptimal control of PDEs
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Gradient-based shape optimisation of ultra-wideband antennas parameterised using splines

2010

Methodology enabling the gradient-based optimisation of antennas parameterised using B-splines is presented. Use of the spline parametrisation allows us to obtain versatile new shapes, whereas the geometry can be represented with a small set of design variables. Moreover, good control over admissible geometries is retained. Advantages of gradient-based optimisation methods are quick convergence, and the fact that the obtained design can be guaranteed to be a local optimum. Focus of this study is to present techniques that enable the computation of exact gradients of the discrete problem, even though the complexity of the geometries does not permit establishing analytical expressions for the…

Mathematical optimizationSpline (mathematics)Local optimumComputer simulationFrequency bandComputationB-splineElectrical and Electronic EngineeringAlgorithmGradient methodSmall setMathematicsIET Microwaves, Antennas & Propagation
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A Boundary Control Approach to an Optimal Shape Design Problem

1989

Abstract We consider the problem of controlling the coincidence set in connection with an obstacle problem. We shall transform the obtained optimal shape design problem into a boundary control problem with Dirichlet boundary conditions.

Mathematical optimizationsymbols.namesakeBoundary conditions in CFDCutting stock problemDirichlet boundary conditionObstacle problemsymbolsFree boundary problemBoundary value problemMixed boundary conditionElliptic boundary value problemMathematicsIFAC Proceedings Volumes
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On the numerical solution of axisymmetric domain optimization problems by dual finite element method

1994

Shape optimization of an axisymmetric three-dimensional domain with an elliptic boundary value state problem is solved. Since the cost functional is given in terms of the cogradient of the solution, a dual finite element method based on the minimum of complementary energy principle is used. © 1994 John Wiley & Sons, Inc.

Numerical AnalysisFinite element limit analysisApplied MathematicsMathematical analysisMixed finite element methodBoundary knot methodFinite element methodComputational MathematicsMethod of fundamental solutionsShape optimizationAnalysisMathematicsExtended finite element methodFree energy principleNumerical Methods for Partial Differential Equations
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Shape design optimization in 2D aerodynamics using Genetic Algorithms on parallel computers

1996

Publisher Summary This chapter presents two Shape Optimization problems for two dimensional airfoil designs. The first one is a reconstruction problem for an airfoil when the velocity of the flow is known on the surface of airfoil. The second problem is to minimize the shock drag of an airfoil at transonic regime. The flow is modeled by the full potential equations. The discretization of the state equation is done using the finite element method and the resulting non-linear system of equations is solved by using a multi-grid method. The non-linear minimization process corresponding to the shape optimization problems are solved by a parallel implementation of a genetic algorithm (GA). Some n…

Physics::Fluid DynamicsAirfoilOptimal designMathematical optimizationDiscretizationApplied mathematicsShape optimizationAerodynamicsTransonicFinite element methodMathematicsSequential quadratic programming
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Parallel Genetic Solution for Multiobjective MDO

1997

Publisher Summary This chapter reviews a multiobjective, multidisciplinary design optimization of two-dimensional airfoil designs. The control points on leading and trailing edges remain fixed, and the y-coordinates of the other control points are allowed to change during the optimization process. The grid for the Euler solver depends continuously and smoothly on the design parameters. The number of nodes and elements in the mesh might vary according to design because the meshes for the Helmholtz solver are done using the local fitting. The computations are made on an IBM SP2 parallel computer using high-performance switch and the MPICH message-passing library. As gradients are not required…

symbols.namesakeMathematical optimizationMPICHMultidisciplinary design optimizationHelmholtz free energyConvergence (routing)symbolsPolygon meshShape optimizationSolverGridMathematics
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Electromagnetic Sensitivity Analysis and Shape Optimization Using Method of Moments and Automatic Differentiation

2009

Sensitivity analysis is an important part of gradient-based optimization of electromagnetic devices. We demonstrate how sensitivity analysis can be incorporated into an existing in-house method of moments solver with a relatively small amount of labor by using a technique called automatic differentiation (AD). This approach enables us to obtain (geometrical) sensitivities of the discrete solution with accuracy up to numerical precision. We compare the assembly time and memory usage of the modified and original solvers. Moreover, we optimize the shape of a dipole antenna and the dimensions of a Yagi-Uda array using the presented AD technique, traditional response level finite difference sens…

Antenna arrayMathematical optimizationAutomatic differentiationFinite difference methodShape optimizationSensitivity (control systems)Electrical and Electronic EngineeringMethod of moments (statistics)SolverAlgorithmGradient methodMathematicsIEEE Transactions on Antennas and Propagation
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