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Surface crack growth prediction under fatigue load using probabilistic S-version finite element model

Research output: Contribution to journalArticleResearchpeer review

Authors

  • M. R. M. Akramin
  • A. K. Ariffin
  • Masanori Kikuchi
  • M. Beer

Research Organisations

External Research Organisations

  • Universiti Kebangsaan Malaysia
  • Universiti Malaysia Pahang (UMP)
  • Tokyo University of Science

Details

Original languageEnglish
Article number522
JournalJournal of the Brazilian Society of Mechanical Sciences and Engineering
Volume40
Issue number11
Early online date15 Oct 2018
Publication statusPublished - Nov 2018

Abstract

The objective of this paper is to recognize the probabilistic distribution of crack growth and stress intensity factor for surface crack. A model with surface crack is subjected to arbitrary constant-amplitude loads. The model is analysed using probabilistic S-version finite element model (ProbS-FEM). In order to decide the probabilistic distribution, Latin hypercube sampling is embedded with ProbS-FEM. Simulation model is compared with experimental specimens. The specimens are prepared and investigated for fatigue testing. Good agreement between predictions, experiments, and previous numerical solutions shows that the developed approach can serve for a realistic reliability analysis of three-dimensional engineering structures.

Keywords

    Crack growth, S-version finite element model, Stress intensity factors, Surface crack

ASJC Scopus subject areas

Cite this

Surface crack growth prediction under fatigue load using probabilistic S-version finite element model. / Akramin, M. R. M.; Ariffin, A. K.; Kikuchi, Masanori et al.
In: Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol. 40, No. 11, 522, 11.2018.

Research output: Contribution to journalArticleResearchpeer review

Akramin MRM, Ariffin AK, Kikuchi M, Beer M, Shaari MS, Husnain MNM. Surface crack growth prediction under fatigue load using probabilistic S-version finite element model. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 2018 Nov;40(11):522. Epub 2018 Oct 15. doi: 10.1007/s40430-018-1442-8
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