8 research outputs found
Fibre/matrix load transfer in thermoset and thermoplastic composites - single fibre models and hole sensitivity of laminates
Tire de : Composites science and technology, vol. 38, 1990, p.271-288SIGLEAvailable at INIST (FR), Document Supply Service, under shelf-number : 22419, issue : a.1990 n.194 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
Experimental Investigation of the Superplastic Forming Technique Using Continuous Carbon Fiber Reinforced Peek
Numerical Analysis and Experimental Validation of Interlaminar Stresses of Quasi-isotropic APC-2/AS-4 Laminate with a Central Hole Loaded in Tension
Prediction of the layer longitudinal compression strength
This paper presents a new approach to the prediction of the layer longitudinal compression strength of continuous fibre polymer matrix composites. It is known that failure is caused by fibre microbuckling and that the initial fibre waviness and the matrix non-linear behaviour play a major role. A previous model compared very well with experimental results, but required a relatively complex numerical solution procedure. In the present model, the compression strength is obtained by solving a fourth-order polynomial equation. Although based on several simplifying assumptions, the model is in good agreement with the numerical model predictions and with experimental data. Further model simplifications lead to a closed-form expression that seems to be valid for carbon and boron fibre composites
A micromechanical model for the prediction of the lamina longitudinal compression strength of composite laminates
This paper describes a new numerical model for the prediction of the lamina longitudinal compression strength. The model assumes failure occurs by fibre microbuckling and takes into account initial fibre misalignments and matrix non-linear stress-strain behaviour. The results obtained with the 2D-base and the 3D-extended formulations agree quite well. with those of Finite Element models presented in a previous paper. Model predictions were compared with experimental data supplied by the authors' partners in a Joint Research Project. The 3D formulation proved to be the most accurate. Agreement with the experimental data is satisfactory, particularly in view of the numerous relevant variables and inevitable simplifications implicit in the models.BRITE/EURAM - BRE2-CT92-031