Review of Intelligent Form-finding Methods for Tensegrity Structure
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.Firstly,the application of artificial intelligence in the field of architecture was introduced.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,the detailed introduction and analysis were 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.
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