Noise reduction of flow MRI measurements using a lattice Boltzmann based topology optimisation approach
From MaRDI portal
Publication:2285549
DOI10.1016/J.COMPFLUID.2019.104391OpenAlexW2987056150MaRDI QIDQ2285549
Hermann Nirschl, Sebastian Schuhmann, Fabian Klemens, Roland Balbierer, Mathias J. Krause, Gudrun Thäter, Gisela Guthausen
Publication date: 8 January 2020
Published in: Computers and Fluids (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.compfluid.2019.104391
Related Items (1)
Cites Work
- Topology optimization of flow domains using the lattice Boltzmann method
- A parametric level-set approach for topology optimization of flow domains
- Adjoint-based fluid flow control and optimisation with lattice Boltzmann methods
- Topology optimization using the lattice Boltzmann method incorporating level set boundary expressions
- Topology optimization of unsteady flow problems using the lattice Boltzmann method
- Optimal design for non-Newtonian flows using a topology optimization approach
- CFD-MRI: A coupled measurement and simulation approach for accurate fluid flow characterisation and domain identification
- Topology optimization of thermal fluid flows with an adjoint lattice Boltzmann method
- A variational data assimilation procedure for the incompressible Navier-Stokes equations in hemodynamics
- Fluid flow simulations verified by measurements to investigate adsorption processes in a static mixer
- Topology optimization of multi-component flows using a multi-relaxation time lattice Boltzmann method
- Discrete adjoint sensitivity analysis for fluid flow topology optimization based on the generalized lattice Boltzmann method
- Topology optimization for unsteady flow
- A parallel Schur complement solver for the solution of the adjoint steady-state lattice Boltzmann equations: application to design optimisation
- The Lattice Boltzmann Method
- Lattice Boltzmann methods for modeling microscale flow in fibrous porous media
This page was built for publication: Noise reduction of flow MRI measurements using a lattice Boltzmann based topology optimisation approach