Haelterman, RBogaers, Alfred EJUekermann, BScheufele, KMehl, M2017-06-072017-06-072016-07Haelterman, 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.2016.04.0010045-7949http://www.sciencedirect.com/science/article/pii/S004579491630164Xhttps://doi.org/10.1016/j.compstruc.2016.04.001http://hdl.handle.net/10204/9109Copyright: 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.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.enFluid–structure interactionQuasi-Newton methodLeast squaresFilteringArticleHaelterman, 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/10204/9109Haelterman, 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/10204/9109Haelterman 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.TY - Article AU - Haelterman, R AU - Bogaers, Alfred EJ AU - Uekermann, B AU - Scheufele, K AU - Mehl, M AB - 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. DA - 2016-07 DB - ResearchSpace DP - CSIR KW - Fluid–structure interaction KW - Quasi-Newton method KW - Least squares KW - Filtering LK - https://researchspace.csir.co.za PY - 2016 SM - 0045-7949 T1 - Improving the performance of the partitioned QN-ILS procedure for fluid-structure interaction problems: filtering TI - Improving the performance of the partitioned QN-ILS procedure for fluid-structure interaction problems: filtering UR - http://hdl.handle.net/10204/9109 ER -