Abstract
This paper introduces a numerical method for predicting the effective elastic module of ZrB2-based composites, which includes a random generation-growth method for generating microstructures of ZrB2-based composites based on existing statistical macroscopic geometrical characteristics and a highly efficient lattice Boltzmann algorithm for solving the governing equations on the multiphase microstructures. The effective elastic module of random ZrB2-based materials is analyzed with different parameters by the present method, including effects of component size and material anisotropy. The simulation results indicate this numerical method’s effectiveness and robustness by comparing the predictions with experimental data and other theoretical models.
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