Probabilistic-based analysis for damaging features of fatigue strain loadings

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents the behaviour of fatigue damage extraction in fatigue strain histories of automotive components using the probabilistic approach. This is a consideration for the evaluation of fatigue damage extraction in automotive components under service loading that is vital in a reliability analysis. For the purpose of research work, two strain signals data are collected from a car coil spring during a road test. The fatigue strain signals are then extracted using the wavelet transform in order to extract the high amplitude segments that contribute to the fatigue damage. At this stage, the low amplitude segments are removed because of their minimal contribution to the fatigue damage. The fatigue damage based on all extracted segments is calculated using some significant strain-life models. Subsequently, the statistics-based Weibull distribution is applied to evaluate the fatigue damage extraction. It has been found that about 70% of the probability of failure occurs in the 1.0 x 10-5 to 1.0 x 10-4 damage range for both signals, while 90% of the probability of failure occurs in the 1.0 x 10-4 to 1.0 x 10-3 damage range. Lastly, it is suggested that the fatigue damage can be determined by the Weibull distribution analysis.

Original languageEnglish
Pages (from-to)84-93
Number of pages10
JournalFrattura ed Integrita Strutturale
Volume12
Issue number46
DOIs
Publication statusPublished - 1 Oct 2018

Fingerprint

Fatigue damage
Fatigue of materials
Weibull distribution
Reliability analysis
Wavelet transforms
Railroad cars
Statistics

Keywords

  • Fatigue damage
  • Features extraction
  • Probabilistic
  • Wavelet
  • Weibull distribution

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering

Cite this

Probabilistic-based analysis for damaging features of fatigue strain loadings. / Yunoh, M. F.Mod; Abdullah, Shahrum; Md Saad, Mohamad Hanif; Mohd Nopiah, Zulkifli; Nuawi, Mohd. Zaki; Singh, S. S.K.

In: Frattura ed Integrita Strutturale, Vol. 12, No. 46, 01.10.2018, p. 84-93.

Research output: Contribution to journalArticle

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