Application of pearson parametric distribution model in fatigue life reliability evaluation

E. A. Azrulhisham, Y. M. Asri, Dzuraidah Abd. Wahab, A. H. Hairul Fahmi

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The aim of this paper is to introduce a parametric distribution model in fatigue life reliability analysis dealing with variation in material properties. Service loads in terms of responsetime history signal of Belgian pave were replicated on a multi-axial spindle coupled road simulator and stress-life method was used to estimate the fatigue life of automotive stub axle. A PSN curve was obtained by monotonic tension test and two-parameter Weibull distribution function was used to acquire the mean life of the component. A Pearson system was developed to evaluate the fatigue life reliability by considering stress range intercept and slope of the PSN curve as random variables. Considering normal distribution of fatigue strength, it is found that the fatigue life of the stub axle to have the highest reliability between 10000 - 15000 cycles. Taking into account the variation of material properties associated with the size effect, machining and manufacturing conditions, the method described in this study can be effectively applied in determination of probability of failure of mass-produced parts.

Original languageEnglish
Pages (from-to)243-248
Number of pages6
JournalWorld Academy of Science, Engineering and Technology
Volume71
Publication statusPublished - Nov 2010

Fingerprint

Fatigue of materials
Axles
Materials properties
Weibull distribution
Normal distribution
Reliability analysis
Random variables
Distribution functions
Machining
Simulators
Fatigue strength

Keywords

  • Fatigue life reliability
  • Pearson system
  • PSN curve
  • Stress-life
  • Stub axle
  • Weibull distribution

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Application of pearson parametric distribution model in fatigue life reliability evaluation. / Azrulhisham, E. A.; Asri, Y. M.; Abd. Wahab, Dzuraidah; Hairul Fahmi, A. H.

In: World Academy of Science, Engineering and Technology, Vol. 71, 11.2010, p. 243-248.

Research output: Contribution to journalArticle

@article{5e6e680fcb6349d0b99a078045ed87d3,
title = "Application of pearson parametric distribution model in fatigue life reliability evaluation",
abstract = "The aim of this paper is to introduce a parametric distribution model in fatigue life reliability analysis dealing with variation in material properties. Service loads in terms of responsetime history signal of Belgian pave were replicated on a multi-axial spindle coupled road simulator and stress-life method was used to estimate the fatigue life of automotive stub axle. A PSN curve was obtained by monotonic tension test and two-parameter Weibull distribution function was used to acquire the mean life of the component. A Pearson system was developed to evaluate the fatigue life reliability by considering stress range intercept and slope of the PSN curve as random variables. Considering normal distribution of fatigue strength, it is found that the fatigue life of the stub axle to have the highest reliability between 10000 - 15000 cycles. Taking into account the variation of material properties associated with the size effect, machining and manufacturing conditions, the method described in this study can be effectively applied in determination of probability of failure of mass-produced parts.",
keywords = "Fatigue life reliability, Pearson system, PSN curve, Stress-life, Stub axle, Weibull distribution",
author = "Azrulhisham, {E. A.} and Asri, {Y. M.} and {Abd. Wahab}, Dzuraidah and {Hairul Fahmi}, {A. H.}",
year = "2010",
month = "11",
language = "English",
volume = "71",
pages = "243--248",
journal = "World Academy of Science, Engineering and Technology",
issn = "2010-376X",
publisher = "World Academy of Science Engineering and Technology",

}

TY - JOUR

T1 - Application of pearson parametric distribution model in fatigue life reliability evaluation

AU - Azrulhisham, E. A.

AU - Asri, Y. M.

AU - Abd. Wahab, Dzuraidah

AU - Hairul Fahmi, A. H.

PY - 2010/11

Y1 - 2010/11

N2 - The aim of this paper is to introduce a parametric distribution model in fatigue life reliability analysis dealing with variation in material properties. Service loads in terms of responsetime history signal of Belgian pave were replicated on a multi-axial spindle coupled road simulator and stress-life method was used to estimate the fatigue life of automotive stub axle. A PSN curve was obtained by monotonic tension test and two-parameter Weibull distribution function was used to acquire the mean life of the component. A Pearson system was developed to evaluate the fatigue life reliability by considering stress range intercept and slope of the PSN curve as random variables. Considering normal distribution of fatigue strength, it is found that the fatigue life of the stub axle to have the highest reliability between 10000 - 15000 cycles. Taking into account the variation of material properties associated with the size effect, machining and manufacturing conditions, the method described in this study can be effectively applied in determination of probability of failure of mass-produced parts.

AB - The aim of this paper is to introduce a parametric distribution model in fatigue life reliability analysis dealing with variation in material properties. Service loads in terms of responsetime history signal of Belgian pave were replicated on a multi-axial spindle coupled road simulator and stress-life method was used to estimate the fatigue life of automotive stub axle. A PSN curve was obtained by monotonic tension test and two-parameter Weibull distribution function was used to acquire the mean life of the component. A Pearson system was developed to evaluate the fatigue life reliability by considering stress range intercept and slope of the PSN curve as random variables. Considering normal distribution of fatigue strength, it is found that the fatigue life of the stub axle to have the highest reliability between 10000 - 15000 cycles. Taking into account the variation of material properties associated with the size effect, machining and manufacturing conditions, the method described in this study can be effectively applied in determination of probability of failure of mass-produced parts.

KW - Fatigue life reliability

KW - Pearson system

KW - PSN curve

KW - Stress-life

KW - Stub axle

KW - Weibull distribution

UR - http://www.scopus.com/inward/record.url?scp=78651582738&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78651582738&partnerID=8YFLogxK

M3 - Article

VL - 71

SP - 243

EP - 248

JO - World Academy of Science, Engineering and Technology

JF - World Academy of Science, Engineering and Technology

SN - 2010-376X

ER -