Topology Optimum Design Considering Uncertainty of Space Smart Structural Systems

近年来，对大型高精度空间结构系统提出了更高的要求。将传感器和执行器集成到结构中的智能结构系统是这种高精度空间结构的备选方案。在设计如此高精度的空间结构时，应考虑施加载荷或材料性能的不确定性。这种不确定性通常具有空间变化的分布。为此，我们采用平稳随机过程，提出了一种考虑这种不确定性的鲁棒拓扑优化方法。由于随机过程模型可以减少随机参数的数量，实现了计算效率高的设计方法。

Recently, a large-scale and high precision space structural system is required. A smart structural system that integrates sensors and actuators into the structure is acandidate of such high precision space structures. In designing such a high precisionspace structure, uncertainties on applied load or material properties should be considered. Such uncertainties often have spatially-varied distributions. For the purpose, we developed a new robust topology optimization approach considering such uncertainty by adopting the stationary stochastic process. Since the stochastic process model can reduce the number of random parameters, the computational efficient design approach is achieved.