Details
| Original language | English |
|---|---|
| Title of host publication | Topics in Modal Analysis & Parameter Identification, Volume 8 |
| Subtitle of host publication | Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022 |
| Editors | Brandon J. Dilworth, Timothy Marinone, Michael Mains |
| Place of Publication | Cham |
| Pages | 1-10 |
| Number of pages | 10 |
| ISBN (electronic) | 978-3-031-05445-7 |
| Publication status | Published - 2023 |
| Event | 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022 - Orlando, United States Duration: 7 Feb 2022 → 10 Feb 2022 |
Publication series
| Name | Conference Proceedings of the Society for Experimental Mechanics Series |
|---|---|
| ISSN (Print) | 2191-5644 |
| ISSN (electronic) | 2191-5652 |
Abstract
Experimental modal analysis of complex structures requires a good sensor concept to capture the component’s vibrational behavior ideally. Especially, when the geometry is big or consists of many attached parts and the number of available sensors is limited, the sensor placement in order to maximize the gained output information is relevant. For this purpose, several methods and algorithms are implemented and tested on the stator housing of an axial compressor test rig. These procedures include among others a genetic algorithm, an artificial bee algorithm, a method based on the QR-decomposition, as well as the effective independence method. This work contributes to the provision of more validation data for real structures, which are rarely found in the literature. The resulting measurement data are analyzed in order to evaluate the qualification of the methods presented for modal parameter extraction. The positioning techniques are compared among each other in order to choose the most suitable method for the modal identification of a complex mechanical structure. Additionally, the experimental results are compared to results from a finite element model. In order to improve the fit between experimental data and numerical results, a model updating procedure is carried out.
Keywords
- Axial compressor, Experimental modal analysis, Model update, Model validation, Sensor positioning
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
- Engineering(all)
- Computational Mechanics
- Engineering(all)
- Mechanical Engineering
Cite this
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Topics in Modal Analysis & Parameter Identification, Volume 8 : Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022. ed. / Brandon J. Dilworth; Timothy Marinone; Michael Mains. Cham, 2023. p. 1-10 (Conference Proceedings of the Society for Experimental Mechanics Series).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Optimal Sensor Placement and Model Updating of Axial Compressor Casing Components
AU - Amer, Mona
AU - Schmid, Simon
AU - Paehr, Martin
AU - Panning-von Scheidt, Lars
AU - Seume, Joerg R.
N1 - Funding Information: Acknowledgments The authors kindly thank the Forschungsvereinigung Verbrennungskraftmaschinen e.V. (FVV) for funding this research project.
PY - 2023
Y1 - 2023
N2 - Experimental modal analysis of complex structures requires a good sensor concept to capture the component’s vibrational behavior ideally. Especially, when the geometry is big or consists of many attached parts and the number of available sensors is limited, the sensor placement in order to maximize the gained output information is relevant. For this purpose, several methods and algorithms are implemented and tested on the stator housing of an axial compressor test rig. These procedures include among others a genetic algorithm, an artificial bee algorithm, a method based on the QR-decomposition, as well as the effective independence method. This work contributes to the provision of more validation data for real structures, which are rarely found in the literature. The resulting measurement data are analyzed in order to evaluate the qualification of the methods presented for modal parameter extraction. The positioning techniques are compared among each other in order to choose the most suitable method for the modal identification of a complex mechanical structure. Additionally, the experimental results are compared to results from a finite element model. In order to improve the fit between experimental data and numerical results, a model updating procedure is carried out.
AB - Experimental modal analysis of complex structures requires a good sensor concept to capture the component’s vibrational behavior ideally. Especially, when the geometry is big or consists of many attached parts and the number of available sensors is limited, the sensor placement in order to maximize the gained output information is relevant. For this purpose, several methods and algorithms are implemented and tested on the stator housing of an axial compressor test rig. These procedures include among others a genetic algorithm, an artificial bee algorithm, a method based on the QR-decomposition, as well as the effective independence method. This work contributes to the provision of more validation data for real structures, which are rarely found in the literature. The resulting measurement data are analyzed in order to evaluate the qualification of the methods presented for modal parameter extraction. The positioning techniques are compared among each other in order to choose the most suitable method for the modal identification of a complex mechanical structure. Additionally, the experimental results are compared to results from a finite element model. In order to improve the fit between experimental data and numerical results, a model updating procedure is carried out.
KW - Axial compressor
KW - Experimental modal analysis
KW - Model update
KW - Model validation
KW - Sensor positioning
UR - http://www.scopus.com/inward/record.url?scp=85135813139&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-05445-7_1
DO - 10.1007/978-3-031-05445-7_1
M3 - Conference contribution
AN - SCOPUS:85135813139
SN - 9783031054440
T3 - Conference Proceedings of the Society for Experimental Mechanics Series
SP - 1
EP - 10
BT - Topics in Modal Analysis & Parameter Identification, Volume 8
A2 - Dilworth, Brandon J.
A2 - Marinone, Timothy
A2 - Mains, Michael
CY - Cham
T2 - 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022
Y2 - 7 February 2022 through 10 February 2022
ER -