AI赋能结构设计OA

The rapid development of artificial intelligence(AI)is reshaping the research landscape of structural design.Based upon the long-established theoretical framework of mechanics,emerging AI technologies,partic-ularly large language models(LLMs),are providing new cognitive tools and methodological perspectives for structural design.As the structural morphology space continues to expand and multi-scale,multi-physics cou-pling problems become increasingly prevalent,traditional design approaches relying on accumulated experience and local trial-and-error methods are approaching their limits in handling growing complexity.In this context,AI not only opens new possibilities for exploring high-dimensional design spaces,representing knowledge,and facilitating interdisciplinary integration,but also extends the way humans understand and analyze complex sys-temns.Looking ahead,AI may enable new development pathways for structural design,including closed-loop frameworks integrating design,manufacturing,and testing,unified paradigms for multi-physics structural de-sign,and the emergence of intelligent structural systems.These developments offer important opportunities for structural science to further expand its cognitive boundaries in an era increasingly shaped by intelligent technol-ogies.