Enhancing Quasi-Newton Acceleration for Fluid-Structure Interaction
We propose two enhancements of quasi-Newton methods used to accelerate coupling iterations for partitioned fluid-structure interaction. Quasi-Newton methods have been established as flexible, yet robust, efficient and accurate coupling methods of multi-physics simulations in general. The coupling li...
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| Format: | Article |
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MDPI AG
2022-05-01
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| Series: | Mathematical and Computational Applications |
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| Online Access: | https://www.mdpi.com/2297-8747/27/3/40 |
| _version_ | 1827658642465226752 |
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| author | Kyle Davis Miriam Schulte Benjamin Uekermann |
| author_facet | Kyle Davis Miriam Schulte Benjamin Uekermann |
| author_sort | Kyle Davis |
| collection | DOAJ |
| description | We propose two enhancements of quasi-Newton methods used to accelerate coupling iterations for partitioned fluid-structure interaction. Quasi-Newton methods have been established as flexible, yet robust, efficient and accurate coupling methods of multi-physics simulations in general. The coupling library preCICE provides several variants, the so-called IQN-ILS method being the most commonly used. It uses input and output differences of the coupled solvers collected in previous iterations and time steps to approximate Newton iterations. To make quasi-Newton methods both applicable for parallel coupling (where these differences contain data from different physical fields) and to provide a robust approach for re-using information, a combination of information filtering and scaling for the different physical fields is typically required. This leads to good convergence, but increases the cost per iteration. We propose two new approaches—pre-scaling weight monitoring and a new, so-called QR3 filter, to substantially improve runtime while not affecting convergence quality. We evaluate these for a variety of fluid-structure interaction examples. Results show that we achieve drastic speedups for the pure quasi-Newton update steps. In the future, we intend to apply the methods also to volume-coupled scenarios, where these gains can be decisive for the feasibility of the coupling approach. |
| first_indexed | 2024-03-09T23:07:31Z |
| format | Article |
| id | doaj.art-0c6de77deeff48c2ba9fcf2cd5b65831 |
| institution | Directory Open Access Journal |
| issn | 1300-686X 2297-8747 |
| language | English |
| last_indexed | 2024-03-09T23:07:31Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
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| series | Mathematical and Computational Applications |
| spelling | doaj.art-0c6de77deeff48c2ba9fcf2cd5b658312023-11-23T17:50:39ZengMDPI AGMathematical and Computational Applications1300-686X2297-87472022-05-012734010.3390/mca27030040Enhancing Quasi-Newton Acceleration for Fluid-Structure InteractionKyle Davis0Miriam Schulte1Benjamin Uekermann2Simulation of Large Systems, Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart, 70569 Stuttgart, GermanySimulation of Large Systems, Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart, 70569 Stuttgart, GermanyUsability and Sustainability of Simulation Software, Institute for Parallel and Distributed Systems (IPVS), University of Stuttgart, 70569 Stuttgart, GermanyWe propose two enhancements of quasi-Newton methods used to accelerate coupling iterations for partitioned fluid-structure interaction. Quasi-Newton methods have been established as flexible, yet robust, efficient and accurate coupling methods of multi-physics simulations in general. The coupling library preCICE provides several variants, the so-called IQN-ILS method being the most commonly used. It uses input and output differences of the coupled solvers collected in previous iterations and time steps to approximate Newton iterations. To make quasi-Newton methods both applicable for parallel coupling (where these differences contain data from different physical fields) and to provide a robust approach for re-using information, a combination of information filtering and scaling for the different physical fields is typically required. This leads to good convergence, but increases the cost per iteration. We propose two new approaches—pre-scaling weight monitoring and a new, so-called QR3 filter, to substantially improve runtime while not affecting convergence quality. We evaluate these for a variety of fluid-structure interaction examples. Results show that we achieve drastic speedups for the pure quasi-Newton update steps. In the future, we intend to apply the methods also to volume-coupled scenarios, where these gains can be decisive for the feasibility of the coupling approach.https://www.mdpi.com/2297-8747/27/3/40fluid-structure interactionquasi-Newtonmultiphysics coupling |
| spellingShingle | Kyle Davis Miriam Schulte Benjamin Uekermann Enhancing Quasi-Newton Acceleration for Fluid-Structure Interaction Mathematical and Computational Applications fluid-structure interaction quasi-Newton multiphysics coupling |
| title | Enhancing Quasi-Newton Acceleration for Fluid-Structure Interaction |
| title_full | Enhancing Quasi-Newton Acceleration for Fluid-Structure Interaction |
| title_fullStr | Enhancing Quasi-Newton Acceleration for Fluid-Structure Interaction |
| title_full_unstemmed | Enhancing Quasi-Newton Acceleration for Fluid-Structure Interaction |
| title_short | Enhancing Quasi-Newton Acceleration for Fluid-Structure Interaction |
| title_sort | enhancing quasi newton acceleration for fluid structure interaction |
| topic | fluid-structure interaction quasi-Newton multiphysics coupling |
| url | https://www.mdpi.com/2297-8747/27/3/40 |
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