Print Email Facebook Twitter A multi-model incremental adaptive strategy to accelerate partitioned fluid-structure algorithms using space-mapping Title A multi-model incremental adaptive strategy to accelerate partitioned fluid-structure algorithms using space-mapping Author Scholcz, T.P. Van Zuijlen, A.H. Bijl, H. Faculty Aerospace Engineering Department Aerodynamics, Wind Energy & Propulsion Date 2011-06-22 Abstract High fidelity analysis of fluid-structure interaction systems is often too timeconsuming when a large number of model evaluations are required. The choice for a solution procedure depends often on the efficiency of the method and the possibility of reusing existing field solvers. Aggressive Space-Mapping, a technique originally developed for multi-fidelity optimization, is applied to accelerate the partitioned solution procedure of a high fidelity fluid-structure interaction model. The method supports software modularity. Aggressive Space-Mapping (ASM) is applied to an academic testcase and the results are compared with the corresponding Incremental Quasi-Newton (IQN) method. An efficiency metric is defined to facilitate the comparison. The ASM method is found to be more efficient than the corresponding IQN method for the testcases considered. The efficiency of space-mapping increases with increasing fluid-to-structure mass ratio, indicating that the method is especially useful for strongly coupled problems. Subject fluid-structure interactionpartitioned couplingspace-mappingmultifidelity modelsreduced order models To reference this document use: http://resolver.tudelft.nl/uuid:c614aecb-a8b9-48d8-bf6c-371c28a4f8c9 Publisher CIMNE ISBN 978-84-89925-78-6 Source Coupled Problems 2011: Proceedings of the 4th International Conference on Computational Methods for Coupled Problems in Science and Engineering, Kos, Greece, 20-22 June 2011 Part of collection Institutional Repository Document type conference paper Rights (c) 2011 The Author(s) Files PDF Scholcz_2011.pdf 522.2 KB Close viewer /islandora/object/uuid:c614aecb-a8b9-48d8-bf6c-371c28a4f8c9/datastream/OBJ/view