Experiment-numerical-virtual Generative Design for Nondeterministic Impacts

该项目将建立一种先进的非确定性设计方法，以揭示优化的材料特性和3D打印的亚结构能力，实时对抗冲击载荷。它将开发一个严格的框架，集成数值模拟，实验和基于机器学习的虚拟建模，以解决设计和制造具有内在不确定性的抗冲击材料和结构的实际挑战。将实验-数值-虚拟过程相结合的生成式设计-校准系统将大大减少重复性大规模实验测试的需要。该项目通过技术创新使民用、航空航天、汽车和国防受益，并具有竞争优势。

This project will establish an advanced nondeterministic design methodology to uncover the optimised material properties and 3D printed metastructural capacity in real-time against impact loading. It will develop a rigorous framework that integrates numerical simulation, experiment, and machine learning-based virtual modelling to tackle practical challenges in design and manufacture of impact-proof materials and structures with intrinsic uncertainties. The generative design-calibration system unifying experimental-numerical-virtual processes will largely reduce the need for repetitive large-scale experimental tests. This project benefits civil, aerospace, automotive, and defence with competitive advantage through technological innovation.