Fatigue crack growth modelling of Fibre metal laminate (FML) composite

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Crack growth modeling are used to evaluate fatigue critical areas and details in aerospace structures, such as Fibre metal laminates (FML) composite, compare to aluminum alloy materials. Thus, this paper presents the modeling of crack growth of a FML-based structure when it is exposed under cyclic loading. The model development which was developed using MatLab by authors was based on the numerical computational algorithm which uses a correlation between the delamination growth rate and crack growth. The original model was developed by researchers from Holland, and the work by the authors was related to the use of current experimental data into this model. Some parameters are used to support this numerical crack growth model, i.e. material properties, loading parameters etc. To simulate the crack growth prediction model, a numerical program is implemented and the model result is validated with experimental data. From the analysis, it was found that crack growth predicted by available model has a similar trend with the experimental results. Finally, it is suggested that the available model is quiet sufficient to predict crack growth in fibre metal laminate.

Original languageEnglish
Pages (from-to)43-53
Number of pages11
JournalEuropean Journal of Scientific Research
Volume35
Issue number1
Publication statusPublished - 2009

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growth modeling
Composite Laminates
Fatigue Crack Growth
Crack Growth
Fatigue crack propagation
fatigue
Laminates
Fatigue
crack
Metals
Crack propagation
metals
Fiber
Fibers
metal
Composite materials
Growth
Modeling
Growth Model
Experimental Data

Keywords

  • Composite
  • Crack growth
  • Failure
  • Fatigue
  • FML
  • Modeling

ASJC Scopus subject areas

  • General

Cite this

Fatigue crack growth modelling of Fibre metal laminate (FML) composite. / Abdullah, Shahrum; Fahruddin, A.; Syarif, J.; Omar, Mohd. Zaidi; Zulkifli, Rozli.

In: European Journal of Scientific Research, Vol. 35, No. 1, 2009, p. 43-53.

Research output: Contribution to journalArticle

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