Modified time domain randomization technique for multi-shaker non-stationary non-Gaussian random vibration control

Ren, Siyu; Chen, Huaihai; Zheng, Ronghui

doi:10.1016/j.ymssp.2024.111311

Cited by 3 publications

(1 citation statement)

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“…If a value of kurtosis is exceeding 3.0 in Gaussian distribution, the data is considered as a nonstationary because of the excitation peaks involvement in a time series data. It also may refer to damage occurred for a component or structure [33].…”

Section: (D))mentioning

confidence: 99%

Strain-based running-reliability characterisation in time-domain for risk monitoring under various load conditions

Karam Singh,

Abdullah,

Abdullah

et al. 2024

Eksploatacja i Niezawodność – Maintenance and Reliability

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This aim of this paper is to characterise the strain-based fatigue life data in time-domain using the newly modelled running-reliability technique that considers the load sequence effect. Current established conventional strain life models do not consider dependence for fatigue life of low or high amplitudes, on which with occur first in the load history. Finite element analysis is carried out to ensure the strain signals are captured at the most critical region during road test at various conditions. Fatigue life of 2.74 × 104 to 6.07 × 105 cycle/block with mean cycle to failure of 4.32 × 106 to 7.00 × 106 cycle/block is predicted based on the cycle sequence effect using cycle-counting method. The newly modelled running-reliability technique is formulated to extract the features of high amplitude excitation obtained from the strain signals for characterising the fatigue reliability features under load sequence effect. Hence, the reliability-hazard relationship for fatigue reliability characterisation of strain-based approach in time-domain using running-reliability technique.

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Section: (D))mentioning

confidence: 99%