Cross-scale optimization of advanced materials for micro and nano structures based on strain gradient theory

Recently developed cross-scale optimization methods are mainly the macro equivalent calculation of performances based on the traditional homogenization method. However, the traditional homogenization is limited to the classic continuum of Cauchy–Boltzmann. Therefore, it is inadequate to interpret th...

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Veröffentlicht in:Computer methods in applied mechanics and engineering 2023-06, Vol.411, p.116010, Article 116010
Hauptverfasser: Lin, Haidong, Hou, Shujuan
Format: Artikel
Sprache:eng
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Zusammenfassung:Recently developed cross-scale optimization methods are mainly the macro equivalent calculation of performances based on the traditional homogenization method. However, the traditional homogenization is limited to the classic continuum of Cauchy–Boltzmann. Therefore, it is inadequate to interpret the size dependence of the optimal result. Hence, a new cross-scale optimization is proposed based on Wei–Hutchinson strain gradient theory by employing the non-local homogenization model, which could describe and explain the size dependence during optimization process when considering micro structures. The topological optimization procedure simultaneously has the ability of coupled computing by using subdomain parameterized coarse meshes. The numerical computations involved in the entire model can be solved in one iteration, which helps to eliminate mesh dependencies and greatly reduce the computation time. It is shown that the final stiffness of the optimized periodic structure can be significantly increased by considering the strain gradient theory compared with the classic homogenization scheme in the process of cross-scale optimization. [Display omitted] •The size dependence is considered and explained in the cross-scale optimization.•Coupled optimization is achieved by using sub-domain parameterized coarse meshes.•The relationship between strain gradient length parameter and RVE size is explored.
ISSN:0045-7825
1879-2138
DOI:10.1016/j.cma.2023.116010