Dynamic Response and Identification of Critical Points in the Superstructure of a Vehicle Using a Combination of Numerical and Experimental Methods

Model Updating of a Nonlinear Experimental Vehicle Using Substructuring and Unscented Kalman Filtering

“…(4) are comparable to the ones of the linear terms. To this end, the simulation of the structure is succeeded using a variant of the Newmark's method [2]. A random displacement base excitation ( ) is used as an input to the system and the calculated acceleration responses of a subset of the DOFs (see below), noise-corrupted with 15% measurement error, are considered as the available output measurements.…”

“…A main challenge involved in the updating procedures pertains to the oftentimes large number of degrees of freedom (DOFs) involved. To tackle with this problem, appropriate substructuring methods in either the time or the frequency domain have been developed and are commonly employed [2][3][4].…”

Parameter Estimation of Nonlinear Large Scale Systems Through Stochastic Methods and Measurement of Its Dynamic Response

“…The frame and fork parts were hung up using a crane and straps, to approximate free-free boundary conditions for the test. First, all the necessary elements of the FRF matrix required for determining the response of the substructures were determined by imposing impulsive loading [5][6][7][8][9]. The measured frequency range was 0-2048 Hz, which includes the analytical frequency range of interest for the frame, 0-600 Hz, as well as for the fork parts, 0-500 Hz.…”

“…Structural model parameter estimation based on measured modal data (e.g. [4][5][6][7][8][9][10]) are often formulated as weighted least-squares estimation problems in which metrics, measuring the residuals between measured and model predicted modal characteristics, are build up into a single weighted residuals metric formed as a weighted average of the multiple individual metrics using weighting factors. Standard gradient-based optimization techniques are then used to find the optimal values of the structural parameters that minimize the single weighted residuals metric representing an overall measure of fit between measured and model predicted modal characteristics.…”

Finite Element Model Developed and Modal Analysis of Large Scale Steam Turbine Rotor: Quantification of Uncertainties and Model Updating

“…Structural model parameter estimation based on measured modal data (e.g. [6][7][8][9][10][11][12]) are often formulated as weighted least-squares estimation problems in which metrics, measuring the residuals between measured and model predicted modal characteristics, are build up into a single weighted residuals metric formed as a weighted average of the multiple individual metrics using weighting factors. Standard gradient-based optimization techniques are then used to find the optimal values of the structural parameters that minimize the single weighted residuals metric representing an overall measure of fit between measured and model predicted modal characteristics.…”