三维正交机织复合材料翼子板多尺度可靠性优化设计

Multi-Scale Reliability-Based Design Optimization of Three-Dimensional Orthogonal Woven Composite Fender

三维正交机织复合材料具有优异的力学性能和抗分层能力,在汽车轻量化应用方面前景广阔.以三维正交机织复合材料汽车翼子板为研究对象,基于多尺度仿真预测方法,建立复合材料弹性性能解析预测模型和翼子板宏观有限元模型.同时针对材料和结构设计变量的不确定性,结合蒙特卡洛可靠性分析方法、Kriging代理模型和粒子群优化算法,实现复合材料翼子板多尺度可靠性优化设计.结果表明:优化后的翼子板在满足结构刚度和可靠性要求的同时,达到了21.93%的轻量化效果.

Three-dimensional orthogonal woven composites have excellent mechanical properties and delamination resistance,which have a bright future in the application of automotive lightweight.A prediction model of elastic properties for three-dimensional orthogonal woven composites was established based on the analytical micromechanical method.The macro-scale performances of the fender were analyzed by using the finite element method.The Monte Carlo reliability analysis method,the Kriging surrogate mode,and the particle swarm optimization algorithm were adopted to conduct multi-scale reliability-based design optimization of a composite structure,which involves the uncertainties of material and structural design variables.The results show that the optimized fender meets the requirments of structural stiffness and reliability,and it also achieves a weight reduction of 21.93%.