面向压电智能复合材料可靠性优化设计的极限安定承载多尺度分析

Smart composite structures integrated with piezoelectric material have a promising application in high-end manufacture and aircraft industries, thanks to their high strength, stiffness, as well as the shape control and vibration control capabilities. The sustainable design in new industrial mode puts high requirements not only on safety but also the biggest material utilization. Therefore, the multiscale optimization design is of great significance, which considering the loading capacity and reliability requirements in material and structure level, respectively. .Herewith we use the limit and shakedown theorem to model the plastic design of the randomly reinforced metal matrix, with the consideration of hardening and temperature-dependent effects. Main research will be carried on: a) the multi-scale shakedown modeling of composite materials through the combination of finite element method, homogenization theory and statistical approach to solve the uncertainty of RVE; b) the multi-physics coupled modeling of smart piezoelectric composite material and reliability optimization design for its structure; c) the efficiency enhance of the large-scale nonlinear optimization algorithm for the strength modeling on certain number of RVE samples, enable the bi-directional optimization design and life evaluation. .The successful completion of the proposed project will lead to a systematic loading capacity predication of piezoelectric smart composite materials with more accurate theoretical algorithm and effective numerical analysis tools, providing a valuable design reference both for materials and for structures.

以金属基复合材料为基体集成压电层构成的智能结构，满足力学性能并具备传感与致动能，在高端制造和航空领域有重要应用。新型工业模式下的可持续性设计，在确保结构可靠前提下，对材料利用率提出更高要求。因此，同时考虑材料承载能力和宏观结构可靠性要求，进行多尺度优化设计具有重要意义。.本项目以压电智能复合材料为研究对象，基于极限和安定理论，考虑硬化和温度效应，对材料进行承载预测和结构优化设计。重点研究：a)随机增强复合材料的多尺度安定建模，通过统计方法解决代表性单元的不确定性; b)压电智能结构多物理场耦合安定建模，基于可靠性理论优化设计宏观智能结构；c) 改善大规模非线性二次优化效率，对适量RVE样本分析和强度建模，实现双向传递优化模式的仿真设计和寿命评估。.本项目成果将为压电智能复合材料承载域预测提供更精确的理论算法和有效的数值分析手段，为智能材料和结构可靠性一体优化设计提供重要依据。