0000000000614617

AUTHOR

Juhani Kataja

showing 4 related works from this author

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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Microwave heating of water in a rectangular waveguide: Validating EOF-Library against COMSOL multiphysics and existing numerical studies

2019

The purpose of this work is two-fold: first, we successfully validate our open-source tool EOF-Library, which efficiently couples Elmer FEM and OpenFOAM, against COMSOL Multiphysics, a commercial simulation package; second, we inform about significant discrepancies between our results and the experimental and simulation data found in a series of research papers. We reproduce the previously published numerical simulations wherein microwaves are supplied to a water domain through a rectangular waveguide, inducing convective flow. This is a conjugate problem with weakly coupled electromagnetics, heat transfer and fluid dynamics. It involves effects such as permittivity dependence on temperatur…

Fluid Flow and Transfer ProcessesElectromagneticsBuoyancyMaterials scienceMarangoni effect020209 energyMultiphysics02 engineering and technologyMechanicsengineering.material01 natural sciencesFinite element method010406 physical chemistry0104 chemical sciencesPhysics::Fluid Dynamicslcsh:TA1-2040Heat transfer0202 electrical engineering electronic engineering information engineeringFluid dynamicsengineeringlcsh:Engineering (General). Civil engineering (General)Engineering (miscellaneous)MicrowaveCase Studies in Thermal Engineering
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An elementary formula for computing shape derivatives of EFIE system matrix

2012

We derive analytical shape derivative formulas of the system matrix representing electric field integral equation discretized with Raviart-Thomas basis functions. The arising integrals are easy to compute with similar methods as the entries of the original system matrix. The results are compared to derivatives computed with automatic differentiation technique and finite differences, and are found to be in excellent agreement.

65M38 (Primary) 35Q93 49Q10 (Secondary)FOS: MathematicsNumerical Analysis (math.NA)Mathematics - Numerical Analysis
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On shape differentiation of discretized electric field integral equation

2013

Abstract This work presents shape derivatives of the system matrix representing electric field integral equation discretized with Raviart–Thomas basis functions. The arising integrals are easy to compute with similar methods as the entries of the original system matrix. The results are compared to derivatives computed with automatic differentiation technique and finite differences, and are found to be in an excellent agreement. Furthermore, the derived formulas are employed to analyze shape sensitivity of the input impedance of a planar inverted F-antenna, and the results are compared to those obtained using a finite difference approximation.

ta113Discretizationta213Automatic differentiationApplied MathematicsMathematical analysista111General EngineeringFinite differenceBasis functionMethod of moments (statistics)Electric-field integral equationComputational MathematicsShape optimizationSensitivity (control systems)AnalysisMathematicsEngineering Analysis with Boundary Elements
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