张拉整体结构的智能化找形研究进展

Review of Intelligent Form-finding Methods for Tensegrity Structure

近年来,“未来的结构体系”张拉整体结构得到学术界的广泛关注。其中,找形是张拉整体结构设计的关键步骤,即确定结构的平衡状态的过程。随着人工智能逐渐应用到各个领域,张拉整体结构的智能找形方法也应运而生,通过使用人工智能技术改进传统的找形方法,以达到简化找形流程的目的。首先介绍人工智能在建筑领域的应用;其次,阐述使用人工智能技术改进张拉整体结构找形方法的研究意义;然后介绍张拉整体结构几种常用的传统的找形方法及其优缺点,再通过调研大量文献,对现在最新的张拉整体结构智能找形方法,特别是优化算法和神经网络方法进行详细介绍和分析;最后,预测并分析总结该领域未来可能的研究方向及相应的发展趋势。

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.