RESEARCH PAPER
Strain-based running-reliability characterisation in time-domain for risk monitoring under various load conditions
More details
Hide details
1
Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia
Submission date: 2023-12-06
Final revision date: 2024-01-10
Acceptance date: 2024-04-05
Online publication date: 2024-04-14
Publication date: 2024-04-14
Corresponding author
Salvinder Singh Karam Singh
Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia
Eksploatacja i Niezawodność – Maintenance and Reliability 2024;26(3):186825
HIGHLIGHTS
- Running reliability is proposed for assessing extreme value distribution in time domain.
- Cycle sequence load is proposed for fatigue life prediction.
- Fatigue reliability is numerically assessed from experimental data.
- Running reliability has the capability of failure monitoring.
KEYWORDS
TOPICS
ABSTRACT
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.
ACKNOWLEDGEMENTS
The authors would like to express their gratitude to Universiti Kebangsaan Malaysia (Research funding: FRGS/1/2023/TK10/UKM/02/1 & GUP-2022-013) for supporting this research.