Modern civil aircraft design is a complex system engineering task that involves multiple disciplines and requires design teams to possess a rigorous knowledge base and innovative capabilities to ensure precision and foresight. However, with the intensifying competition in the civil aircraft market, the design and development cycles are continually being shortened, leading to significant bottlenecks in existing design methods that struggle to adapt to rapidly changing market demands. This paper focuses on the empowering strategies of artificial intelligence technology in civil aircraft design, delving into the concept of intelligent design and its common challenges. First, it discusses the potential of intelligent design in enhancing design efficiency, accuracy, and innovation. Next, it introduces key technologies related to intelligent civil aircraft design, including machine learning, optimization algorithms, and simulation technologies. Finally, it elaborates on China’s explorations and practical applications in overall design, aerodynamic optimization, structural analysis, and cockpit design, demonstrating how artificial intelligence technology plays a vital role in various aspects of civil aircraft design.

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Artificial Intelligence-Driven Civil Aircraft Design

  • Guanghui Wu,
  • Miao Zhang,
  • Jing Wang,
  • Hairun Xie,
  • Dayong Dong,
  • Zhaoguang Tan,
  • Junqiang Bai

摘要

Modern civil aircraft design is a complex system engineering task that involves multiple disciplines and requires design teams to possess a rigorous knowledge base and innovative capabilities to ensure precision and foresight. However, with the intensifying competition in the civil aircraft market, the design and development cycles are continually being shortened, leading to significant bottlenecks in existing design methods that struggle to adapt to rapidly changing market demands. This paper focuses on the empowering strategies of artificial intelligence technology in civil aircraft design, delving into the concept of intelligent design and its common challenges. First, it discusses the potential of intelligent design in enhancing design efficiency, accuracy, and innovation. Next, it introduces key technologies related to intelligent civil aircraft design, including machine learning, optimization algorithms, and simulation technologies. Finally, it elaborates on China’s explorations and practical applications in overall design, aerodynamic optimization, structural analysis, and cockpit design, demonstrating how artificial intelligence technology plays a vital role in various aspects of civil aircraft design.