A tunnelling crack density evolution model for FRP laminates subjected to cyclic multi-axial strain-controlled loading

Aakash Moncy*, Oscar Castro, Jens Glud, Christian Berggreen, Ole Thomsen, Janice M Dulieu-Barton

*Corresponding author for this work

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

Abstract

A multi-scale stochastic crack density evolution model for tunnelling cracks under multi-directional cyclic loading is presented. The damage model proposed utilizes a multi-scale stress-based criterion for crack initiation and a triple unit cell approach with inputs from the GLOB-LOC model for crack-front growth rate. Biaxial cruciform specimens subjected to strain-controlled cyclic loading are used to calibrate the crack initiation SN curve and the Paris-Erdogan type of law required for crack growth. Additionally, uniaxial force-controlled cyclic tests are used to calibrate the stochastic parameters associated with crack initiation and crack growth. The performance of the damage model in predicting the crack-front growth compared well with experimental data and 3D finite element analyses. The damage model includes a crack element discretisation scheme which allows for multiple collinear cracks to initiate and coalesce. The model also accounts for the growth of damage outside the window of a primary representative volume element. The crack density predictions of the model are compared with measurements from cruciform specimens. It is shown that the damage model captures the trend of the crack density evolution well and provides a conservative prediction of the crack saturation level.
Original languageEnglish
Article number112446
Number of pages44
JournalInternational Journal of Solids and Structures
Volume282
Early online date7 Aug 2023
DOIs
Publication statusPublished - 15 Oct 2023

Bibliographical note

Funding Information:
This study was conducted in the CASMaT Initiation Project, undertaken as part of the establishment of the Villum Center for Advanced Structural and Material Testing (CASMaT) at the Technical University of Denmark (DTU) (grant no. VKR 023193). Furthermore, the authors acknowledge DTU Structural Laboratory for supplying laboratory facilities and technical support.

Publisher Copyright:
© 2023 Elsevier Ltd

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