With the continuous improvement of the demand level for advanced equipment, the trend of material structure integration and design and manufacturing integration is strengthening. Additive manufacturing technology has outstanding advantages, but there are still manufacturing defects that affect structural performance. This paper proposes a concurrent robust topology optimization method considering manufacturing factors and hybrid uncertainties. The minimum size is controlled based on the boundary gradient under the level set frame. The influence of random defects on the mechanical property is analyzed via the homogenization method. Taylor expansion method and collocation method are used to calculate the influence of hybrid uncertainties on structural response. The parameter update strategy of the optimization algorithm is improved, which extends the constraints of the optimization model and can solve the optimization model under severe constraints. Three examples show efficiency, results, and applicability.

随着对先进装备需求水平的不断提高，材料结构一体化和设计制造一体化的趋势正在加强。增材制造技术具有突出的优势，但仍存在影响结构性能的制造缺陷。本文提出了一种考虑制造因素和混合不确定性的并行鲁棒拓扑优化方法。最小尺寸是根据水平集框架下的边界梯度来控制的。通过均匀化方法分析了随机缺陷对力学性能的影响。采用泰勒展开法和配置法计算混合不确定性对结构响应的影响。改进了优化算法的参数更新策略，扩展了优化模型的约束条件，可以求解严格约束下的优化模型。三个例子展示了效率、结果和适用性。