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- W2335744413 abstract "This work presents an integrated methodology for probabilistic analysis of first ply failure (FPF) of composite materials used in wind turbine blades using a multi-scale approach, M-SaF (Micromechanics based failure Analysis under Static loading) and Bayesian statistical framework. The M-SaF approach was developed to predict failure in heterogeneous materials by analyzing each constituent failure at the micro level, i.e. the fiber, the matrix and the interface. M-SaF is composed of three sub models to account for the stresses in the constituents, namely: the Stassi Equivalent stress model for the matrix; fiber breakage based on Tsai-Wu failure criterion . The analysis is carried out on a three dimensional representative unit cell of the composite. Use of M-SaF in practise requires the constituent’s properties (fiber, matrix, and interface) which are difficult to fully characterize and can have significant statistical variation. A Bayesian framework was therefore developed to afford probabilistic failure estimates tuned to available test coupon data. An academic problem of a cantilever beam was used to demonstrate the parameter calibration procedure. Lamina level test data are then used to calibrate the constituent’s properties within the Bayesian framework, computing posterior probability distributions of fiber and matrix properties. The posterior distributions were then used to predict probabilistic FPF of a range of composite laminates layups for OptiDaT and WWFE test data base values." @default.
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- W2335744413 date "2016-01-01" @default.
- W2335744413 modified "2023-09-23" @default.
- W2335744413 title "Probabilistic First Ply Failure Analysis of Wind Turbine Blade Laminates" @default.
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- W2335744413 doi "https://doi.org/10.2514/6.2016-0985" @default.
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