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

被引:0
作者
Singh, S. S. K. [1 ]
Abdullah, L. [1 ]
Abdullah, S. [1 ]
Azman, A. H. [1 ]
Ariffin, A. K. [1 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Engn & Built Environm, Dept Mech & Mfg Engn, Bangi, Selangor, Malaysia
来源
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY | 2024年 / 26卷 / 03期
关键词
strain loads; mean cycle to failure; time-domain; running-reliability; risk monitoring; STRENGTH; FAILURE; LIFE;
D O I
10.17531/ein/186825
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 x 10 4 to 6.07 x 10 5 cycle/block with mean cycle to failure of 4.32 x 10 6 to 7.00 x 10 6 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 runningreliability technique.
引用
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页数:22
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  • [41] Towards a digital twin approach for vessel-specific fatigue damage monitoring and prognosis
    VanDerHorn, Eric
    Wang, Zhenghua
    Mahadevan, Sankaran
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 219
  • [42] An automotive steel wheel digital twin for failure identification under accelerated fatigue tests
    Venturini, Simone
    Rosso, Carlo
    Velardocchia, Mauro
    [J]. ENGINEERING FAILURE ANALYSIS, 2024, 158
  • [43] Polygonal Finite Element for Two-Dimensional Lid-Driven Cavity Flow
    Vu-Huu, T.
    Le-Thanh, C.
    Nguyen-Xuan, H.
    Abdel-Wahab, M.
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 70 (03): : 4217 - 4239
  • [44] Reliability evaluation method based on dynamic fault diagnosis results: A case study of a seabed mud lifting system
    Wang, Chuan
    Liu, Yupeng
    Wang, Dongbo
    Wang, Guorong
    Wang, Dingya
    Yu, Chao
    [J]. RELIABILITY ENGINEERING & SYSTEM SAFETY, 2021, 214
  • [45] A Method of Selecting the Block Size of BMM for Estimating Extreme Loads in Engineering Vehicles
    Wang, Jixin
    You, Shuang
    Wu, Yuqian
    Zhang, Yingshuang
    Bin, Shibo
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [46] Probabilistic modeling for reliability analysis of buried pipelines subjected to spatiotemporal earthquakes
    Wang, Y.
    Xia, A.
    Qin, G.
    [J]. PROBABILISTIC ENGINEERING MECHANICS, 2022, 69
  • [47] Isodamage curve-based fatigue damage accumulation model considering the exhaustion of static toughness
    Xia, Fu-Long
    Zhu, Shun-Peng
    Liao, Ding
    Dantas, Rita
    Correia, Jose A. F. O.
    De Jesus, Abilio M. P.
    [J]. ENGINEERING FAILURE ANALYSIS, 2020, 115 (115)
  • [48] Probabilistic fatigue model for composites based on the statistical characteristics of the cycles to failure
    Xiang, Guangjian
    Bacharoudis, Konstantinos C.
    Vassilopoulos, Anastasios P.
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2022, 163
  • [49] Methods for fatigue-life estimation: A review of the current status and future trends
    Zhang, Lufan
    Jiang, Boshi
    Zhang, Pengqi
    Yan, Heng
    Xu, Xiangbo
    Liu, Ruizhuo
    Tang, Jingjing
    Ren, Caixia
    [J]. NANOTECHNOLOGY AND PRECISION ENGINEERING, 2023, 6 (02)
  • [50] Fatigue reliability analysis of the brake pads considering strength degradation
    Zhang, Nan
    Jiang, Guang-Jun
    Wu, Dong-Wei
    Chen, Hong-Xia
    Wu, Jian-Xin
    [J]. EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY, 2020, 22 (04): : 620 - 626