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Optimization of Damage Equivalent Accelerated Test Spectrum Derivation Using Multiple Non-Gaussian Vibration Data
Yancheng Institute of Technology, CHN.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.
Northwest Institute of Mechanical and Electrical Engineering, CHN.
2021 (English)In: Journal of Sensors, ISSN 1687-725X, E-ISSN 1687-7268, Vol. 2021, article id 3668726Article in journal (Refereed) Published
Abstract [en]

The response spectra are widely used in the damage assessment of non-Gaussian random vibration environments and the derivation of damage equivalent accelerated test spectrum. The effectiveness of the latter is strongly affected by modal parameter uncertainties, multiple field data processing, and the nonsmooth shape of the derived power spectral density (PSD). Optimization of accelerated test spectrum derivation based on dynamic parameter selection and iterative update of spectrum envelope is presented in this paper. The extreme response spectrum (ERS) envelope of the field data is firstly taken as the limiting spectrum, and the corresponding relationship between damping coefficient, fatigue exponent, and damage equivalent PSD under different test times is constructed to achieve the dynamic selection of uncertain parameters in the response spectrum model. Then, an iterative update model based on the weighted sum of fatigue damage spectrum (FDS) error is presented to reduce the error introduced by the nonsmooth shape of the derived PSD. The case study shows that undertest can be effectively avoided by the dynamic selection of model parameters. The weighted error is reduced from 80.1% to 7.5% after 7 iterations. Particularly, the error is close to 0 within the peak and valley frequency band.© 2021 Fei Xu et al.

Place, publisher, year, edition, pages
HINDAWI LTD , 2021. Vol. 2021, article id 3668726
Keywords [en]
durability tests, nonstationary
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:bth-22175DOI: 10.1155/2021/3668726ISI: 000697299200007Scopus ID: 2-s2.0-85115737338OAI: oai:DiVA.org:bth-22175DiVA, id: diva2:1599637
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open access

Available from: 2021-10-01 Created: 2021-10-01 Last updated: 2021-10-10Bibliographically approved

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Ahlin, Kjell

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