The Quasi-Newton Inverse Least Squares method has become a popular method to solve partitioned interaction problems. Its performance can be enhanced by using information from previous time-steps if care is taken of the possible ill-conditioning that results. To enhance the stability, filtering has been used. In this paper we show that a relatively minor modification to the filtering technique can substantially reduce the required number of iterations.
Reference:
Haelterman, R., Bogaers, A.E.J., Uekermann, B. et al. 2016. Improving the performance of the partitioned QN-ILS procedure for fluid-structure interaction problems: filtering. Computers and Structures, vol. 171: 9-17. https://doi.org/10.1016/j.compstruc.2016.04.001
Haelterman, R., Bogaers, A. E., Uekermann, B., Scheufele, K., & Mehl, M. (2016). Improving the performance of the partitioned QN-ILS procedure for fluid-structure interaction problems: filtering. http://hdl.handle.net/10204/9109
Haelterman, R, Alfred EJ Bogaers, B Uekermann, K Scheufele, and M Mehl "Improving the performance of the partitioned QN-ILS procedure for fluid-structure interaction problems: filtering." (2016) http://hdl.handle.net/10204/9109
Haelterman R, Bogaers AE, Uekermann B, Scheufele K, Mehl M. Improving the performance of the partitioned QN-ILS procedure for fluid-structure interaction problems: filtering. 2016; http://hdl.handle.net/10204/9109.
Copyright: 2016 Elsevier. Due to copyright restrictions, the attached PDF file only contains the pre-print version of the article. For access to the definitive published version, please consult the publisher's website.
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