A Time-Adaptive Multirate Quasi-Newton Waveform Iteration for Coupled Problems
(2025) In International Journal for Numerical Methods in Engineering 126(12).- Abstract
- We consider waveform iterations for dynamical coupled problems, or more specifically, PDEs that interact through a lower-dimensional interface. We want to allow for the reuse of existing codes for the subproblems, called a partitioned approach. To improve computational efficiency, different and adaptive time steps in the subsolvers are advisable. Using so-called waveform iterations in combination with relaxation, this has been achieved for heat transfer problems earlier. Alternatively, one can use a black box method like Quasi-Newton to improve the convergence behavior. These methods have recently been combined with waveform iterations for fixed time steps. Here, we suggest an extension of the Quasi-Newton method to the time-adaptive... (More)
- We consider waveform iterations for dynamical coupled problems, or more specifically, PDEs that interact through a lower-dimensional interface. We want to allow for the reuse of existing codes for the subproblems, called a partitioned approach. To improve computational efficiency, different and adaptive time steps in the subsolvers are advisable. Using so-called waveform iterations in combination with relaxation, this has been achieved for heat transfer problems earlier. Alternatively, one can use a black box method like Quasi-Newton to improve the convergence behavior. These methods have recently been combined with waveform iterations for fixed time steps. Here, we suggest an extension of the Quasi-Newton method to the time-adaptive setting and analyze its properties. We compare the proposed Quasi-Newton method with state-of-the-art solvers on a heat transfer test case and a complex mechanical Fluid-Structure interaction case, demonstrating the method's efficiency.
(Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/c8f47b55-91e3-44ff-81e1-074f8caa1787
- author
- Kotarsky, Niklas LU and Birken, Philipp LU
- organization
- publishing date
- 2025-06-15
- type
- Contribution to journal
- publication status
- published
- subject
- in
- International Journal for Numerical Methods in Engineering
- volume
- 126
- issue
- 12
- article number
- e70063
- pages
- 11 pages
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- scopus:105008276761
- ISSN
- 0029-5981
- DOI
- 10.1002/nme.70063
- language
- English
- LU publication?
- yes
- id
- c8f47b55-91e3-44ff-81e1-074f8caa1787
- date added to LUP
- 2025-07-18 10:52:22
- date last changed
- 2025-11-08 14:20:07
@article{c8f47b55-91e3-44ff-81e1-074f8caa1787,
abstract = {{We consider waveform iterations for dynamical coupled problems, or more specifically, PDEs that interact through a lower-dimensional interface. We want to allow for the reuse of existing codes for the subproblems, called a partitioned approach. To improve computational efficiency, different and adaptive time steps in the subsolvers are advisable. Using so-called waveform iterations in combination with relaxation, this has been achieved for heat transfer problems earlier. Alternatively, one can use a black box method like Quasi-Newton to improve the convergence behavior. These methods have recently been combined with waveform iterations for fixed time steps. Here, we suggest an extension of the Quasi-Newton method to the time-adaptive setting and analyze its properties. We compare the proposed Quasi-Newton method with state-of-the-art solvers on a heat transfer test case and a complex mechanical Fluid-Structure interaction case, demonstrating the method's efficiency.<br/>}},
author = {{Kotarsky, Niklas and Birken, Philipp}},
issn = {{0029-5981}},
language = {{eng}},
month = {{06}},
number = {{12}},
publisher = {{John Wiley & Sons Inc.}},
series = {{International Journal for Numerical Methods in Engineering}},
title = {{A Time-Adaptive Multirate Quasi-Newton Waveform Iteration for Coupled Problems}},
url = {{http://dx.doi.org/10.1002/nme.70063}},
doi = {{10.1002/nme.70063}},
volume = {{126}},
year = {{2025}},
}