《机械工程前沿（英文）》
>> 2019年
第14卷
第2期
doi:
10.1007/s11465-019-0531-4
RESEARCH ARTICLE
Robust topology optimization of multi-material lattice structures under material and load uncertainties
Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
录用日期：
2019-01-16
发布日期：
2019-01-16
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摘要
Enabled by advancements in multi-material additive manufacturing, lightweight lattice structures consisting of networks of periodic unit cells have gained popularity due to their extraordinary performance and wide array of functions. This work proposes a density-based robust topology optimization method for meso- or macro-scale multi-material lattice structures under any combination of material and load uncertainties. The method utilizes a new generalized material interpolation scheme for an arbitrary number of materials, and employs univariate dimension reduction and Gauss-type quadrature to quantify and propagate uncertainty. By formulating the objective function as a weighted sum of the mean and standard deviation of compliance, the tradeoff between optimality and robustness can be studied and controlled. Examples of a cantilever beam lattice structure under various material and load uncertainty cases exhibit the efficiency and flexibility of the approach. The accuracy of univariate dimension reduction is validated by comparing the results to the Monte Carlo approach.
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