航空学报2025，Vol.46Issue(5)：15-32,18.DOI:10.7527/S1000-6893.2024.31485
数据与知识联合赋能的民机智能气动设计
Data and knowledge-enabled intelligent aerodynamic design for civil aircraft
摘要
Abstract
With the rapid advancement of high-performance computing and artificial intelligence technologies,data-driven AI models have been extensively researched in the field of civil aircraft aerodynamic design,demonstrating sig-nificant potential in design space compression,key feature extraction,flow field prediction,and intelligent optimization design.However,the application of purely data-driven models in engineering design still faces many challenges,in-cluding the scarcity and high acquisition cost of domain-specific data,as well as deficiencies in model reliability,gener-ality,interpretability,and usability.Integrating physical knowledge and aerodynamic design experience into model de-velopment has become a key approach to addressing these challenges,providing an important direction for advancing technology in this field.This paper,from the perspective of civil aircraft engineering design and supported by relevant practices in intelligent aerodynamic design,reviews recent theories and progress in data-and knowledge-driven AI models in the areas of knowledge embedding,knowledge correction,and knowledge discovery.It further explores the current state of research and application potential of data-and knowledge-driven methods in civil aircraft aerodynamic design,while offering insights into the future of new paradigms in intelligent aerodynamic design.关键词
气动设计/智能设计/数据驱动/知识驱动/人工智能Key words
aerodynamic design/intelligent design/data-driven/knowledge-driven/artificial intelligence分类
航空航天引用本文复制引用
吴光辉,王景,谢海润,马涂亮,苗强,向纪鑫,张淼..数据与知识联合赋能的民机智能气动设计[J].航空学报,2025,46(5):15-32,18.基金项目
国家自然科学基金(U23A2069) （U23A2069）
上海市自然科学基金(24ZR1436800) National Natural Science Foundation of China(U23A2069) （24ZR1436800）
Shanghai Natural Science Foundation(24ZR1436800) （24ZR1436800）
