Failure and damage characterization of (±30°) biaxial braided composites under multiaxial stress states

Advanced measurement techniques for braided composite structures: A review of current and upcoming trends

“…Cichosz and Wehrkamp-Richter evaluated triaxial braided composites using the 3D DIC measurement method. 36,37 Samples manufactured with 30°, 45°, and 60° braid angles. Uniaxial tensile tests were performed at different off-axis orientations for each of the test samples.…”

“…41 Damage and failure of triaxially braided composite structures was assessed using high-speed imaging by Cichosz and Wehrkamp-Richter. 36,37 The collected high-speed images were used to study the catastrophic failure that occurred to braid samples subjected to a multiaxis stress state. The evolution of damage and strain for braided structures was investigated.…”

Metamodel-Based Uncertainty Quantification for the Mechanical Behavior of Braided Composites

“…The mechanical characterization of braided composites, whether experimentally or via virtual testing frameworks, is an active research topic with a broad spectrum. Extensive experimental campaigns under multi-axial stress states have been reported in (Cichosz et al, 2016) for biaxial, and in (Wehrkamp-Richter, Hinterhölzl, and Pinho, 2017) for triaxial braided composites and for different braiding angles, including both monotonic and loading-unloading conditions. The free-edge effect (i.e.…”

A meso-scale simulation framework for predicting the mechanical response of triaxial braided composites

“…In case of a severe impact of the tool on the yarn geometry, as in the case of laminates with few plies manufactured by resin transfer moulding (RTM), an explicit representation of the full stack and the tool may be necessary in order to capture their mutual mechanical interactions, such as flatting of the surface yarns [34]. For higher numbers of braided layers [35], however, or for vacuum infusion processes with a single-sided flexible membrane [36,37], the advantages of drastically reducing computational expense can outweigh the loss in modelling detail.…”