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Making Sense of Large FEA NVH Databases using SEA Concepts
ISSN: 0148-7191, e-ISSN: 2688-3627
Published May 15, 2007 by SAE International in United States
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The paper presents an energetic post-processing methodology for large-scale vibro-acoustic finite element models. Starting from a dynamic and an acoustic modal basis produced by a finite element analysis (FEA), the methodology produces:
- 1synthetic and pertinent energetic outputs;
- 2optimal SEA partitions of the finite element mesh;
- 3quality indicators of existing SEA partitions.
The methodology involves six different steps, some required, some optional:
- 1automatic partitioning of the FEA model in patches;
- 2calculation of distribution matrices;
- 3definition of mechanical loads;
- 4definition of damping characteristics;
- 5modal-based vibro-acoustic response calculation;
- 6energetic post-processing;
- 7automatic partitioning in SEA subsystems;
- 8verification of existing SEA partitions.
Each step will be presented in turn. The methodology will be illustrated by application of the successive steps to a Renault Laguna body and an Alstom two-storey TGV train section.
CitationVan den Nieuwenhof, B., Lielens, G., Coyette, J., Guyader, J. et al., "Making Sense of Large FEA NVH Databases using SEA Concepts," SAE Technical Paper 2007-01-2183, 2007, https://doi.org/10.4271/2007-01-2183.
- Karypis G. Kumar V. METIS: A software package for partitioning unstructured graphs, partitioning meshes and computing fill-reducing orderings of sparse matrices 1998
- Mace B. Shorter P. Energy flow models from finite element analysis J. Sound Vib. 2000 233 3 369 389
- Berry M.J.A. Linoff G. Data mining techniques, for marketing, sales and customer support Wiley New York 1997
- Totaro N. Guyader J.L. SEA substructuring using cluster analysis: the MIR index J. Sound Vib. 2006 290 264 289
- Totaro N PhD Thesis 2004 INSA Lyon