What is it about?

Damping identification in structural dynamics is a typical but always challenging issue because of the complex mechanism of the damping. Then what would happen if the inevitable experimental uncertainty is considered in the task? Indeed, even for the same experimental device, the repeated experimental data can lead to very different damping results. This paper proposes a probabilistic approach to deal with this challenge.

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Why is it important?

This work shows a clear example that from the same structure, using the same experimental method and sensors, the finally identified damping can still be very different. In the presence of experimental uncertainty, the aim of damping identification in this paper is not a single deterministic solution with maximum fidelity to a single experiment, but rather a set of optimized solutions with acceptable robustness to multiple uncertain experiments.

Perspectives

In real-life engineering, the exact and unique answer of damping identification is always hidden behind the mist of uncertainty. By providing a set of steady solutions with the estimated mean and standard deviation, the proposed approach demonstrates its ability to pursue the numerical value that is robust to the physical truth, in the presence of inherent experimental uncertainties.

Dr. Sifeng BI
Leibniz Universität Hannover

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This page is a summary of: Probabilistic Approach for Damping Identification Considering Uncertainty in Experimental Modal Analysis, AIAA Journal, December 2018, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.j057432.
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