Evaluation of reliability-based fatigue strain data analysis for an automobile suspension under various road condition

Nadia Nurnajihah Mohamad Nasir, Shahrum Abdullah, Salvinder Singh Karam Singh, Sallehuddin Mohamed Haris

Research output: Contribution to journalArticle

Abstract

This work aimed to analyse fatigue-based reliability for automobile suspension on the basis of the strain load signal from an automobile under operating conditions. Fatigue life was used to ensure the aging of the component, and it was suitable for use for longer than the standard age given. The damage behaviour patterns for each retained edited signal from 100% to 85% were used to predict the fatigue durability of the suspension with a sampling frequency of 500 Hz for various road conditions. The extended global statistics were computed to determine the behaviour of the signal. Accelerated durability analysis was used to remove the low-amplitude cycles, which contributed minimally toward the total damage, by considering the effects of mean stresses. The reliability assessment, hazard rate function and mean time-to-failure (MTTF) based on the retention signal were predicted through fatigue strain data analysis. Changes were observed from a range of below 15% and above 60% of the length of the actual original signals due to the low amplitude. Extended global statistics showed scale parameter of 75 and 94 with an MTTF of 1.25×10 3 and 1.27×10 3 cycles. The retention signal loads provide an accurate signal editing technique for predicting fatigue life with good reliability characteristic understanding for the suspension part.

Original languageEnglish
Pages (from-to)49-58
Number of pages10
JournalInternational Journal of Integrated Engineering
Volume10
Issue number5
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

Automobile suspensions
Fatigue of materials
Suspensions
Durability
Statistics
Automobiles
Loads (forces)
Hazards
Aging of materials
Sampling

Keywords

  • Damage
  • Fatigue
  • Gumbel distribution
  • Hazard rate
  • Reliability

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Materials Science (miscellaneous)
  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Cite this

Evaluation of reliability-based fatigue strain data analysis for an automobile suspension under various road condition. / Nasir, Nadia Nurnajihah Mohamad; Abdullah, Shahrum; Singh, Salvinder Singh Karam; Mohamed Haris, Sallehuddin.

In: International Journal of Integrated Engineering, Vol. 10, No. 5, 01.01.2018, p. 49-58.

Research output: Contribution to journalArticle

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