Topology Optimum Design Considering Uncertainty of Space Smart Structural Systems

近年来，人们对空间结构系统的尺寸要求越来越高。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典型代表。在设计这种高精度的空间结构时，需要考虑载荷或材料特性的不确定性。这种不确定性往往具有不同的空间分布。为此，我们提出了一种新的鲁棒拓扑优化方法考虑这种不确定性，采用平稳随机过程。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.