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An experimental evaluation fatigue life of unnotched rail specimen under random vibration fatigue analysis.

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Title: An experimental evaluation fatigue life of unnotched rail specimen under random vibration fatigue analysis.
Authors: Padzi, Mahfodzah Md1 (AUTHOR), Tawfik, Muhammad Nur1 (AUTHOR) tawfik.badruddin@s.unikl.edu.my, Abdullah, Shahrum2 (AUTHOR), Harmanto, Dani3 (AUTHOR), Saniman, Muhammad Nur Farhan1 (AUTHOR), Firdaws, Mohd Nur4 (AUTHOR)
Source: Australian Journal of Mechanical Engineering. Jul2026, Vol. 24 Issue 3, p420-430. 11p.
Subjects: Fatigue life, Random vibration, Power spectra, Distribution (Probability theory), Rayleigh model, Modal analysis, Fatigue testing machines
Abstract: The aim of this paper is to propose a prediction of the vibration fatigue life in frequency domain utilising newly methods that considers the vibration-load sequences effect under random vibration loading. The design of experiment employed a modal analysis to examine the vibration responses signals of R260 steel in loading ranges 300–800 MPa, however three specimens selected with different size capacity of stresses of 350 MPa, 687 MPa and 750 MPa. The vibration signals are transformed from time domain to frequency domain using power spectral density through pwelch tool. To address the stress amplitude probability distribution, each vibration responses signal uses the rain-flow counting method to analysis every minimum and maximum peaks. The fatigue life of random vibration loading was investigated through two frequency domain approaches namely Dirlik and Rayleigh distribution. The results of fatigue life of Dirlik indicate that through (g2/psd) such as 0.031, 0.16 and 0.65 it exhibits the lower fatigue life prediction with 695,000, 39,000 and 450 cycles respectively, compared to Rayleigh with 750,000, 41,000 and 750 cycles for three specimens with different size capacity loading. This work gives high accuracy and a good practical for predicting model to contribute in vibration fatigue topic for academic. [ABSTRACT FROM AUTHOR]
Copyright of Australian Journal of Mechanical Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 194726046
AccessLevel: 6
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PubTypeId: academicJournal
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: An experimental evaluation fatigue life of unnotched rail specimen under random vibration fatigue analysis.
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  Data: <searchLink fieldCode="AR" term="%22Padzi%2C+Mahfodzah+Md%22">Padzi, Mahfodzah Md</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tawfik%2C+Muhammad+Nur%22">Tawfik, Muhammad Nur</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tawfik.badruddin@s.unikl.edu.my</i><br /><searchLink fieldCode="AR" term="%22Abdullah%2C+Shahrum%22">Abdullah, Shahrum</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Harmanto%2C+Dani%22">Harmanto, Dani</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Saniman%2C+Muhammad+Nur+Farhan%22">Saniman, Muhammad Nur Farhan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Firdaws%2C+Mohd+Nur%22">Firdaws, Mohd Nur</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Australian+Journal+of+Mechanical+Engineering%22">Australian Journal of Mechanical Engineering</searchLink>. Jul2026, Vol. 24 Issue 3, p420-430. 11p.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Fatigue+life%22">Fatigue life</searchLink><br /><searchLink fieldCode="DE" term="%22Random+vibration%22">Random vibration</searchLink><br /><searchLink fieldCode="DE" term="%22Power+spectra%22">Power spectra</searchLink><br /><searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Rayleigh+model%22">Rayleigh model</searchLink><br /><searchLink fieldCode="DE" term="%22Modal+analysis%22">Modal analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Fatigue+testing+machines%22">Fatigue testing machines</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The aim of this paper is to propose a prediction of the vibration fatigue life in frequency domain utilising newly methods that considers the vibration-load sequences effect under random vibration loading. The design of experiment employed a modal analysis to examine the vibration responses signals of R260 steel in loading ranges 300–800 MPa, however three specimens selected with different size capacity of stresses of 350 MPa, 687 MPa and 750 MPa. The vibration signals are transformed from time domain to frequency domain using power spectral density through pwelch tool. To address the stress amplitude probability distribution, each vibration responses signal uses the rain-flow counting method to analysis every minimum and maximum peaks. The fatigue life of random vibration loading was investigated through two frequency domain approaches namely Dirlik and Rayleigh distribution. The results of fatigue life of Dirlik indicate that through (g2/psd) such as 0.031, 0.16 and 0.65 it exhibits the lower fatigue life prediction with 695,000, 39,000 and 450 cycles respectively, compared to Rayleigh with 750,000, 41,000 and 750 cycles for three specimens with different size capacity loading. This work gives high accuracy and a good practical for predicting model to contribute in vibration fatigue topic for academic. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Australian Journal of Mechanical Engineering is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/14484846.2025.2575254
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 420
    Subjects:
      – SubjectFull: Fatigue life
        Type: general
      – SubjectFull: Random vibration
        Type: general
      – SubjectFull: Power spectra
        Type: general
      – SubjectFull: Distribution (Probability theory)
        Type: general
      – SubjectFull: Rayleigh model
        Type: general
      – SubjectFull: Modal analysis
        Type: general
      – SubjectFull: Fatigue testing machines
        Type: general
    Titles:
      – TitleFull: An experimental evaluation fatigue life of unnotched rail specimen under random vibration fatigue analysis.
        Type: main
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          Name:
            NameFull: Padzi, Mahfodzah Md
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            NameFull: Tawfik, Muhammad Nur
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            NameFull: Abdullah, Shahrum
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            NameFull: Harmanto, Dani
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            NameFull: Saniman, Muhammad Nur Farhan
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            NameFull: Firdaws, Mohd Nur
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          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 24
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              Value: 3
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            – TitleFull: Australian Journal of Mechanical Engineering
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