Embedding artificial neural networks into twin cohesive zone models for composites fatigue delamination prediction under various stress ratios and mode mixities

Bing Zhang*, Giuliano Allegri, Stephen R Hallett

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

This paper presents for the first time a novel numerical technique for modelling fatigue delamination growth in fibre reinforced composites, which is based on coupling two twin cohesive zone models with a single-hidden-layer artificial neural network. The simulation approach proposed here can describe composites fatigue delamination under negative & positive stress ratios and the full range of mode mixities. In the modelling strategy, each segment of a composites interface is described by two twin cohesive elements, which jointly provide local fracture mechanics parameters into a feedforward single-hidden-layer neural network, without the need to know the global load R ratio. In turn, the neural network algorithm feeds the fatigue crack propagation rate da/dN back into the twin cohesive elements, which follow a static and fatigue cohesive law in a synchronous fashion. The novel modelling methodology has been implemented in an explicit finite element scheme. The modelling strategy is first verified and validated by several benchmark cases, involving mode I Double Cantilever Beam tests, mode II End Loaded Split tests with and without reversal, as well as Mixed-Mode Bending tests. A relevant application of the modelling technique is demonstrated considering a tapered laminate, which experiences non-proportional loading due to the presence of combined static tension and cyclic bending.
Original languageEnglish
Article number111311
Number of pages17
JournalInternational Journal of Solids and Structures
Early online date22 Oct 2021
DOIs
Publication statusE-pub ahead of print - 22 Oct 2021

Bibliographical note

Funding Information:
The authors would like to acknowledge Rolls-Royce plc for the support of this research through the Composites University Technology Centre ( UTC ) at the University of Bristol, UK. The authors are also grateful to Innovate UK for the funding of the Aerospace Technology Institute (ATI) project “FAN Testing And STatistical Integrity CALibration” (Ref. 113190).

Funding Information:
The authors would like to acknowledge Rolls-Royce plc for the support of this research through the Composites University Technology Centre (UTC) at the University of Bristol, UK. The authors are also grateful to Innovate UK for the funding of the Aerospace Technology Institute (ATI) project ?FAN Testing And STatistical Integrity CALibration? (Ref. 113190).

Publisher Copyright:
© 2021 Elsevier Ltd

Keywords

  • Cohesive zone model
  • Delamination
  • Fatigue
  • Finite element
  • Interface
  • Numerical methods

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