The immersed boundary method as an inverse problem

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Authors
Yan, Jianfeng
Issue Date
2020-08
Type
Electronic thesis
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Language
ENG
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Aeronautical engineering
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Abstract
problem formulation is shown to be ill-posed. The ill-posedness is addressed by two complimentary strategies. The first strategy is to ensure that the enclosing domain tends to the true domain as the mesh is refined. The second strategy is to include a specialized, parameter-free regularization that is based on penalizing the difference between the control and the state on the boundary. The proposed inverse IBM is applied to the diffusion, advection, advection-diffusion, and linear elasticity equations using a high-order discontinuous Galerkin (DG) discretization. The numerical experiments demonstrate that the regularized scheme achieves optimal rates of convergence and that the reduced Hessian of the optimization problem has a bounded condition number as the mesh is refined.
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August 2020
School of Engineering
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Rensselaer Polytechnic Institute, Troy, NY
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