国家自然科学基金 (62271036,62101022)；北京市自然科学基金 (4232021)；北京市属高校高水平创新团队建设计划项目(IDHT20190506)；北京建筑大学双塔人才培养计划(JDYC20220818)；北京建筑大学青年教师科研能力提升计划(X21083)
1.College of Electrical and Information Engineering, Beijing University of Architecture;2.Beijing University of Architecture
In recent years, the tensegrity structure, known as the "future structural system," has received widespread attention from the academic community. Among them, form-finding is a key step in the design of a tensegrity structure, which is the process of determining the equilibrium state of the structure. With the gradual application of artificial intelligence in various fields, intelligent form-finding methods for tensegrity structures have also emerged. By using artificial intelligence technology to improve traditional form-finding methods, the goal of simplifying the form-finding process is achieved. The article first introduces the application of artificial intelligence in the field of architecture. Secondly, the research significance of using artificial intelligence technology to improve the form-finding method of the tensegrity structure was elaborated. Then, several commonly used traditional form-finding methods for tensegrity structures and their advantages and disadvantages were introduced. Through extensive literature research, a detailed introduction and analysis will be conducted on the latest intelligent form-finding methods for tensegrity structures, especially optimization algorithms and neural network methods. Finally, the possible future research directions and corresponding development trends in this field were predicted and analyzed and summarized.
郭茂祖,李卓璇,李阳,等. 张拉整体结构的智能化找形研究进展[J]. 科学技术与工程, , ():复制