Agradecimentos: The authors would like to thank the Centre for Computational Engineering and Sciences (CCES-CEPID/UNICAMP) for providing access to computational facilities. Furthermore, the authors gratefully acknowledge the National Council for the Scientific and Technological Development (CNPq)...

Agradecimentos: The authors would like to thank the Centre for Computational Engineering and Sciences (CCES-CEPID/UNICAMP) for providing access to computational facilities. Furthermore, the authors gratefully acknowledge the National Council for the Scientific and Technological Development (CNPq) (grants number: 312493/2013-4 and 54283/2014-2) and the São Paulo Research Foundation (FAPESP) (Grant No.: 2015/22199-9) for their financial support

A new computational framework to analyse the microscale dynamic behaviour of three-dimensional polycrystalline materials with different lattice structures is presented. The absence of analytical solutions for these stochastic materials has been a challenge in validating the numerical results. In...

A new computational framework to analyse the microscale dynamic behaviour of three-dimensional polycrystalline materials with different lattice structures is presented. The absence of analytical solutions for these stochastic materials has been a challenge in validating the numerical results. In macroscale analysis, when the number of crystal aggregates in the microscale is large, polycrystalline aggregates exhibit an effective isotropic nature. To model the elastodynamic effects, random crystalline orientations and morphology configurations are used for each polycrystalline aggregate. The recently proposed fundamental solution based on double Fourier series for general anisotropy coupled to the dual-reciprocity boundary element method is used. A drastic reduction in the degrees of freedom is achieved owing to the nature of the boundary mesh. The stochastic time-dependent displacement wave under various boundary conditions is evaluated, and the validation is carried out using homogenisation over the grain surfaces. An assessment of the effective macroscopic properties of the available analytical isotropic models is proposed, wherein the convergence is evaluated using statistical samples. Numerical results are presented using a large number of simulations to obtain a good confidence interval

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

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