A multiscale methodology is developed to computationally assess the probabilistic compositematerial properties at all composite scale levels due to the uncertainties in the constituent (fiber andmatrix) properties and in the fabrication process variables. The methodology is computationallyefficient for simulating the probability distributions of material properties. The sensitivity of theprobabilistic composite material property to each random variable is determined. The methodologyhas been implemented into the computer code PICAN (Probabilistic Integrated Composite ANalyzer).The accuracy and efficiency of this methodology are demonstrated by simulating the uncertainties inthe material properties of a typical laminate and comparing the results with the Monte Carlosimulation method. The experimental data of composite material properties at all scales fall withinthe scatters predicted by PICAN.
展开▼
