Probability analysis in determining the behaviour of variable amplitude strain signal based on extraction segments

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Abstract

This paper focuses on analysis in determining the behaviour of variable amplitude strain signals based on extraction of segments. The constant Amplitude loading (CAL), that was used in the laboratory tests, was designed according to the variable amplitude loading (VAL) from Society of Automotive Engineers (SAE). The SAE strain signal was then edited to obtain those segments that cause fatigue damage to components. The segments were then sorted according to their amplitude and were used as a reference in the design of the CAL loading for the laboratory tests. The strain signals that were obtained from the laboratory tests were then analysed using fatigue life prediction approach and statistics, i.e. Weibull distribution analysis. Based on the plots of the Probability Density Function (PDF), Cumulative Distribution Function (CDF) and the probability of failure in the Weibull distribution analysis, it was shown that more than 70% failure occurred when the number of cycles approached 1.0 x 1011. Therefore, the Weibull distribution analysis can be used as an alternative to predict the failure probability.

Original languageEnglish
Pages (from-to)2141-2152
Number of pages12
JournalLatin American Journal of Solids and Structures
Volume14
Issue number12
DOIs
Publication statusPublished - 1 Jan 2017

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Weibull distribution
Engineers
Fatigue damage
Probability density function
Distribution functions
Statistics
Fatigue of materials

Keywords

  • Fatigue
  • Signal processing
  • Strain signal
  • Variable amplitude
  • Weibull distribution

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Materials Science(all)
  • Automotive Engineering
  • Aerospace Engineering
  • Ocean Engineering
  • Mechanics of Materials
  • Mechanical Engineering

Cite this

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title = "Probability analysis in determining the behaviour of variable amplitude strain signal based on extraction segments",
abstract = "This paper focuses on analysis in determining the behaviour of variable amplitude strain signals based on extraction of segments. The constant Amplitude loading (CAL), that was used in the laboratory tests, was designed according to the variable amplitude loading (VAL) from Society of Automotive Engineers (SAE). The SAE strain signal was then edited to obtain those segments that cause fatigue damage to components. The segments were then sorted according to their amplitude and were used as a reference in the design of the CAL loading for the laboratory tests. The strain signals that were obtained from the laboratory tests were then analysed using fatigue life prediction approach and statistics, i.e. Weibull distribution analysis. Based on the plots of the Probability Density Function (PDF), Cumulative Distribution Function (CDF) and the probability of failure in the Weibull distribution analysis, it was shown that more than 70{\%} failure occurred when the number of cycles approached 1.0 x 1011. Therefore, the Weibull distribution analysis can be used as an alternative to predict the failure probability.",
keywords = "Fatigue, Signal processing, Strain signal, Variable amplitude, Weibull distribution",
author = "Yunoh, {M. F.M.} and Shahrum Abdullah and {Md Saad}, {Mohamad Hanif} and {Mohd Nopiah}, Zulkifli and Nuawi, {Mohd. Zaki}",
year = "2017",
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AU - Abdullah, Shahrum

AU - Md Saad, Mohamad Hanif

AU - Mohd Nopiah, Zulkifli

AU - Nuawi, Mohd. Zaki

PY - 2017/1/1

Y1 - 2017/1/1

N2 - This paper focuses on analysis in determining the behaviour of variable amplitude strain signals based on extraction of segments. The constant Amplitude loading (CAL), that was used in the laboratory tests, was designed according to the variable amplitude loading (VAL) from Society of Automotive Engineers (SAE). The SAE strain signal was then edited to obtain those segments that cause fatigue damage to components. The segments were then sorted according to their amplitude and were used as a reference in the design of the CAL loading for the laboratory tests. The strain signals that were obtained from the laboratory tests were then analysed using fatigue life prediction approach and statistics, i.e. Weibull distribution analysis. Based on the plots of the Probability Density Function (PDF), Cumulative Distribution Function (CDF) and the probability of failure in the Weibull distribution analysis, it was shown that more than 70% failure occurred when the number of cycles approached 1.0 x 1011. Therefore, the Weibull distribution analysis can be used as an alternative to predict the failure probability.

AB - This paper focuses on analysis in determining the behaviour of variable amplitude strain signals based on extraction of segments. The constant Amplitude loading (CAL), that was used in the laboratory tests, was designed according to the variable amplitude loading (VAL) from Society of Automotive Engineers (SAE). The SAE strain signal was then edited to obtain those segments that cause fatigue damage to components. The segments were then sorted according to their amplitude and were used as a reference in the design of the CAL loading for the laboratory tests. The strain signals that were obtained from the laboratory tests were then analysed using fatigue life prediction approach and statistics, i.e. Weibull distribution analysis. Based on the plots of the Probability Density Function (PDF), Cumulative Distribution Function (CDF) and the probability of failure in the Weibull distribution analysis, it was shown that more than 70% failure occurred when the number of cycles approached 1.0 x 1011. Therefore, the Weibull distribution analysis can be used as an alternative to predict the failure probability.

KW - Fatigue

KW - Signal processing

KW - Strain signal

KW - Variable amplitude

KW - Weibull distribution

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