Götz, Benedict ; Kersting, Sebastian (2022):
Estimation of Uncertainty in the Lateral Vibration Attenuation of a Beam with Piezo-Elastic Supports by Neural Networks. (Publisher's Version)
In: Applied Mechanics and Materials, 885, pp. 293-303. Trans Tech Publications Ltd., ISSN 1660-9336, e-ISSN 1662-7482,
DOI: 10.26083/tuprints-00020433,
[Article]
![]() |
Text
AMM.885.293.pdf Copyright Information: CC BY 4.0 International - Creative Commons, Attribution. Download (478kB) |
Item Type: | Article |
---|---|
Origin: | Secondary publication service |
Status: | Publisher's Version |
Title: | Estimation of Uncertainty in the Lateral Vibration Attenuation of a Beam with Piezo-Elastic Supports by Neural Networks |
Language: | English |
Abstract: | Quantification of uncertainty in technical systems is often based on surrogate models of corresponding simulation models. Usually, the underlying simulation model does not describe the reality perfectly, and consequently the surrogate model will be imperfect.In this article we propose an improved surrogate model of the vibration attenuation of a beam with shunted piezoelectric transducers. Therefore, experimentally observed and simulated variations in the vibration attenuation are combined in the model estimation process, by using multi-layer feedforward neural networks. Based on this improved surrogate model, we construct a density estimate of the maximal amplitude in the vibration attenuation.The density estimate is used to analyze the uncertainty in the vibration attenuation, resulting from manufacturing variations. |
Journal or Publication Title: | Applied Mechanics and Materials |
Volume of the journal: | 885 |
Place of Publication: | Darmstadt |
Publisher: | Trans Tech Publications Ltd. |
Classification DDC: | 500 Naturwissenschaften und Mathematik > 510 Mathematik 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften |
Divisions: | 16 Department of Mechanical Engineering > Research group System Reliability, Adaptive Structures, and Machine Acoustics (SAM) 04 Department of Mathematics > Stochastik |
Date Deposited: | 02 Feb 2022 14:01 |
Last Modified: | 22 Mar 2023 14:21 |
DOI: | 10.26083/tuprints-00020433 |
Corresponding Links: | |
URN: | urn:nbn:de:tuda-tuprints-204333 |
Additional Information: | Keywords: Density Estimation, Imperfect Model, Neural Network, Surrogate Model, Uncertainty Quantification |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/20433 |
PPN: | 50618871X |
Export: |
![]() |
View Item |