Lanczos Algorithms for Large Symmetric Eigenvalue Computations, Vol. 1
Lanczos Algorithms for Large Symmetric Eigenvalue Computations, Vol. 1
An Automated Multilevel Substructuring Method for Eigenspace Computation in Linear Elastodynamics
SIAM Journal on Scientific Computing
Toward simulation-based design
Finite Elements in Analysis and Design - Special issue: The fifteenth annual Robert J. Melosh competition
An Implementation and Evaluation of the AMLS Method for Sparse Eigenvalue Problems
ACM Transactions on Mathematical Software (TOMS)
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This paper presents an industrial validation case to evaluate the efficiency of automated multi-level substructuring (AMLS). This relatively new technique allows analysis of large structures up to frequencies where conventional methods are too computationally expensive. The finite element model of an industrial-sized passenger vehicle will be subjected to the substructuring procedure of AMLS. The global response will then be presented in terms of synthesized frequency response functions (FRFs). It will be shown that the required computation times and disk space can be significantly reduced by using AMLS while maintaining a high accuracy of the synthesized FRFs. One of the main motivations for the work has been to find a tool for fast point mobility calculations to be used to estimate important SEA input parameters. It can be concluded that AMLS is well suited for calculating these point mobilities and that AMLS in combination with other solution schemes might speed up the calculations even further.