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

作　　者：郭茂祖 李卓璇 李阳 邵首飞 GUO Mao-zu;LI Zhuo-xuan;LI Yang;SHAO Shou-fei(College of Electrical and Information Engineering,Beijing University of Architecture,Beijing 100044,China;Key Laboratory of Beijing on Intelligent Processing of Building Big Data(Beijing University of Civil Engineering and Architecture),Beijing 100044,China)

机构地区：[1]北京建筑大学电气与信息工程学院,北京100044 [2]建筑大数据智能处理方法研究北京市重点实验室(北京建筑大学),北京100044

出　　处：《科学技术与工程》2024年第12期4824-4833,共10页Science Technology and Engineering

基　　金：国家自然科学基金(62271036,62101022,52130809);北京市自然科学基金(4232021);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)。

摘　　要：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.

关 键 词：张拉整体结构 人工智能 找形方法 优化算法 神经网络 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]