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Journal article

Estimating bolt tension from vibrations: Transient features, nonlinearity, and signal processing

From

Department of Mechanical Engineering, Technical University of Denmark1

Solid Mechanics, Department of Mechanical Engineering, Technical University of Denmark2

Hottinger Brüel & Kjær A/S3

Karlsruhe Institute of Technology4

Monitoring and control of tension in bolted joints is a difficult task that has received long-time attention. A newly proposed technique is to hammer-impact the bolts and estimate the tension based on the vibration response. This present work conducts a thorough experimental investigation of two different bolted structures to identify the potentials of the technique, particularly examining damping ratios and nonlinearity by appropriate signal processing.

The applicability of the method is checked by conducting tests with a real multi-bolt structure. For larger tension, the squared first bending natural frequency of a bolt increases approximately linearly with bolt tension. This study investigates the sensitivity of that feature with respect to impact force, i.e. the nonlinearity in the bolt's frequency response.

The damping ratio is estimated and observed to decrease with tension, and is overall reproducible for the tested impact forces, though with significant variation for small bolt tension. A time–frequency analysis provides insights into the variations observed in the measured linear damping ratios and natural frequencies.

The time-dependent damping ratios generally depend on acceleration amplitude, especially for small amplitudes and small bolt tension. In contrast, the instantaneous natural frequencies are found to be practically independent of amplitude. The absence of significant nonlinearity is encouraging for the potential of a hammer impact-based technique for estimating bolt tension.

Language: English
Year: 2021
Pages: 107224
ISSN: 10961216 and 08883270
Types: Journal article
DOI: 10.1016/j.ymssp.2020.107224
ORCIDs: 0000-0001-6518-2202 , Brøns, Marie , Thomsen, Jon Juel and Sah, Si Mohamed

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