On the experimental linear identification of a multiple-joint bolted connection using frequency-based substructuring

M. Kreutz, F. Trainotti, D. J. Rixen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The dynamics of bolted joints are still an essential uncertainty in the modeling of machines. Frequency-based substructuring techniques have been successfully applied to isolate the linearized dynamics of one bolted joint in six degrees of freedom. A step towards the identification of flange connections is to apply the isolation for an assembly with multiple joints. In this contribution, an assembly connected via two bolted joints is investigated, where the dynamics of both bolted joints are isolated in a single decoupling step. Due to the stiff bolted joint connection, the substructuring problem is ill-conditioned. Strategies to deal with the ill-conditioning are presented. The performance is assessed by reconstructing the assembly dynamics with the identified joint and comparing them to the measured FRFs.

Original languageEnglish
Title of host publicationProceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics
EditorsW. Desmet, B. Pluymers, D. Moens, J. del Fresno Zarza
PublisherKU Leuven, Departement Werktuigkunde
Pages1096-1109
Number of pages14
ISBN (Electronic)9789082893175
StatePublished - 2024
Event31st International Conference on Noise and Vibration Engineering, ISMA 2024 and 10th International Conference on Uncertainty in Structural Dynamics, USD 2024 - Leuven, Belgium
Duration: 9 Sep 202411 Sep 2024

Publication series

NameProceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics

Conference

Conference31st International Conference on Noise and Vibration Engineering, ISMA 2024 and 10th International Conference on Uncertainty in Structural Dynamics, USD 2024
Country/TerritoryBelgium
CityLeuven
Period9/09/2411/09/24

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