1 option
Numerical Study of the Compartment Cavity Problem Using a Novel Cell-Based Smoothed Radial Point Interpolation Method China Automotive Engrg Rsch Inst Company, Limited
- Format:
- Conference/Event
- Author/Creator:
- Yao, Yao, author.
- Conference Name:
- SAE 2013 Noise and Vibration Conference and Exhibition (2013-05-20 : Grand Rapids, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2013
- Summary:
- Nowadays, the finite element method (FEM) is used to predict the performance of vehicle compartment cavity, id est the acoustic modal, the acoustic frequency response, et cetera The accuracy of conventional FEM for acoustic problem strongly depends on the size of the mesh, element quality, et cetera As element size gets greater and distortion gets severer, the deviation of high wave number problem also gets larger. In order to improve the accuracy of acoustic problem, this paper introduces a novel cell-based smoothed radial point interpolation method (CS-RPIM) to solve the vehicle compartment cavity model. In present method, the cavity is discretized using tetrahedron background cells, the each cell is further divided into four smoothing cells and then the cell-based gradient smoothing operation is implemented through the smoothing cells. The system equations are derived using the smoothed Galerkin weak form, and the essential boundary conditions are imposed directly as in the finite element method (FEM).The cell-based gradient smoothing operation provides proper softening effect, makes the CS-RPIM model much softer than the "overly-stiff" FEM model and hence significantly reduces the "pollution effect". The present method is implemented to predict the vehicle compartment acoustic modal analysis and the acoustic frequency response analysis. Both the results show that the present method can provide more accurate results compared with the standard FEM using the same mesh. It indicates that the present CS-RPIM can be widely applied to solving many engineering NVH problems with more accurate solutions
- Notes:
- Vendor supplied data
- Publisher Number:
- 2013-01-1988
- Access Restriction:
- Restricted for use by site license
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.