6533b7d2fe1ef96bd125ed40
RESEARCH PRODUCT
An optimization-based approach for solving a time-harmonic multiphysical wave problem with higher-order schemes
Sanna Mönköläsubject
fourth-order Runge–Kuttata113Numerical AnalysisOptimization problemfluid–structure interactionta114Physics and Astronomy (miscellaneous)DiscretizationApplied Mathematicsta111Mathematical analysisSpectral element methodspectral element methodAcoustic wavecoupled problemcontrollabilityComputer Science ApplicationsControllabilityComputational MathematicsMultigrid methodRate of convergenceModeling and SimulationConjugate gradient methodMathematicsdescription
This study considers developing numerical solution techniques for the computer simulations of time-harmonic fluid-structure interaction between acoustic and elastic waves. The focus is on the efficiency of an iterative solution method based on a controllability approach and spectral elements. We concentrate on the model, in which the acoustic waves in the fluid domain are modeled by using the velocity potential and the elastic waves in the structure domain are modeled by using displacement.Traditionally, the complex-valued time-harmonic equations are used for solving the time-harmonic problems. Instead of that, we focus on finding periodic solutions without solving the time-harmonic problems directly. The time-dependent equations can be simulated with respect to time until a time-harmonic solution is reached, but the approach suffers from poor convergence. To overcome this challenge, we follow the approach first suggested and developed for the acoustic wave equations by Bristeau, Glowinski, and Périaux. Thus, we accelerate the convergence rate by employing a controllability method. The problem is formulated as a least-squares optimization problem, which is solved with the conjugate gradient (CG) algorithm. Computation of the gradient of the functional is done directly for the discretized problem. A graph-based multigrid method is used for preconditioning the CG algorithm. peerReviewed
year | journal | country | edition | language |
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2013-06-01 | Journal of Computational Physics |