Multiscale surrogate-based framework for reliability analysis of unidirectional FRP composites

Sadik L. Omairey (Corresponding Author), Peter D. Dunning, Srinivas Sriramula

Research output: Contribution to journalArticle

Abstract

In this paper, a Finite Element-based surrogate model is developed to efficiently estimate stiffness properties of unidirectional composite laminas, while accounting for geometric and material property uncertainties at micro, meso and laminate scale, all within a probabilistic framework. In the multi-scale build-up nature of composites, uncertainties occur in material properties and geometric characteristics. These uncertainties present a challenge in estimating composite material properties. The currently available property estimation/homogenisation tools are mainly divided into two categories: analytical methods constrained by configuration assumptions, and numerical homogenisation using Finite Element Analysis (FEA). The latter is more flexible and accurate, but computationally expensive. Hence, this paper develops a surrogate model based on a limited number of experimental FEA data points. Additionally, a transition phase is developed between micro and laminate scales that enables modelling of spatially varying uncertainties. As a result, this framework significantly decreases analysis duration compared with FEA techniques, and, because it is derived from FEA data points, can accurately represent a wide range of uncertainties.
Original languageEnglish
Article number106925
Number of pages15
JournalComposites Part B: Engineering
Volume173
Early online date26 May 2019
DOIs
Publication statusPublished - 15 Sep 2019

Fingerprint

Reliability analysis
Composite materials
Finite element method
Materials properties
Laminates
Stiffness
Uncertainty

Keywords

  • composites
  • uncertainty
  • RVE homogenisation
  • stiffness
  • surrogates
  • reliability

Cite this

Multiscale surrogate-based framework for reliability analysis of unidirectional FRP composites. / Omairey, Sadik L. (Corresponding Author); Dunning, Peter D.; Sriramula, Srinivas.

In: Composites Part B: Engineering, Vol. 173, 106925, 15.09.2019.

Research output: Contribution to journalArticle

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