Paper
9 June 2000 Updating FEM using state-space-based signal processing techniques
Gregory C. Burnett, David B. McCallen, Charles R. Noble
Author Affiliations +
Abstract
Until recently, attempts to update Finite Element Models (FEM) of large structures based upon recording structural motions were mostly ad hoc, requiring a large amount of engineering experience and skill. Studies have been undertaken at LLNL to use state-space based signal processing techniques to locate the existence and type of model mismatches common in FEM. Two different methods (Gauss-Newton gradient search and extended Kalman filter) will be explored, and the preliminary results from a simulated 10 degree of freedom (DOF) building model will be discussed.
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Gregory C. Burnett, David B. McCallen, and Charles R. Noble "Updating FEM using state-space-based signal processing techniques", Proc. SPIE 3995, Nondestructive Evaluation of Highways, Utilities, and Pipelines IV, (9 June 2000); https://doi.org/10.1117/12.387828
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KEYWORDS
Finite element methods

Signal processing

Filtering (signal processing)

Systems modeling

Computer simulations

Motion models

Matrices

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