Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

On the use of improved radial basis functions methods in fluid-structure interaction simulations

Strofylas Giorgos, Mazanakis Georgios, Sarakinos Sotirios, Lygidakis Georgios, Nikolos Ioannis

Full record


URI: http://purl.tuc.gr/dl/dias/803E39F5-59D7-41CF-BF4A-93EB10AF7F28
Year 2016
Type of Item Conference Full Paper
License
Details
Bibliographic Citation G. A. Strofylas, G. I. Mazanakis, S. S. Sarakinos, G. N. Lygidakis and I. K. Nikolos, "On the use of improved radial basis functions methods in fluid-structure interaction simulations," in ASME 2016 International Mechanical Engineering Congress and Exposition, 2016. doi: 10.1115/IMECE2016-66412 https://doi.org/10.1115/IMECE2016-66412
Appears in Collections

Summary

The development of an efficient partitioned FSI coupling scheme is reported in this paper, aimed to facilitate interaction between an open-source CSD software package and an in-house academic CFD code. The coupling procedure is based on Radial Basis Functions (RBFs) interpolation for both information transfer and mesh deformation, entailing no dependence on connectivities, and hence making it applicable to different type or even intersecting grids. However, the method calls for increased computational resources in its initial formulation; to alleviate this deficiency, appropriate acceleration techniques have been incorporated, namely the Partition of Unity (PoU) approach and a surface-point reduction scheme. The PoU approach was adopted in case of data transfer, localizing the interpolation process and therefore reducing the size of the coupling matrix. An alternative approach was applied to improve the efficiency of the mesh deformation procedure, based on the agglomeration of the flow/structure interface nodes used for the RBFs interpolation method. For the demonstration of the proposed scheme a static aeroelastic simulation of a real bridge model, during its construction phase, was performed. The extracted results exhibit its potential to encounter effectively such complicated test cases, in a computationally efficient way.

Services

Statistics