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Participation factor based identification of mode shapes
Publikationstyp
Conference Paper
Date Issued
2024-09
Sprache
English
Start Page
941
End Page
951
Citation
31st International Conference on Noise and Vibration Engineering, ISMA 2024
Contribution to Conference
Scopus ID
Publisher
KU Leuven, Departement Werktuigkunde
ISBN
978-9-0828-9317-5
In practical vibration analysis, the identification of mode shapes in an operational deflection shape is a common problem. Based on modal-superposition theory, there is always a summation of several mode shapes involved. Identifying the dominant shapes, if several mode shapes with similar eigenfrequencies participate, is a non-trivial task. As a solution to this problem, this paper introduces a method to identify an arbitrary set of shapes in a vibration response from either measurement or simulation based on an inverse participation factor calculation. The method is tested based on the vibration response obtained from a multibody simulation of a large-bore combustion engine. A key feature of the method is that it is not bound to mode shapes, but can be used to identify arbitrary shapes in the response. Thereby, it provides an objective metric for mode identification.
DDC Class
600: Technology