采用定长索设计的索网玻璃幕墙结构索长误差控制理论

发布时间：2018-04-18 08:11

本文选题：索网玻璃幕墙结构 + 控制限值　；参考：《工程力学》2017年06期

【摘要】：单层索网结构体系目前已广泛应用于大尺度玻璃幕墙工程中。而将定长索设计的方法应用于其设计施工中,具有明显优势。在使用定长索设计时,索网玻璃幕墙中整索长度的准确性与节点连接的标定准确性都会影响张拉成形后各索的拉力及节点位形的精确度,进一步影响玻璃幕墙的位形及受力性能。该文首先分别讨论这两种索长误差影响的区别和联系,说明这两者均可转化为索段的索长误差以进行进一步研究。在此基础上,将两种索长误差结合,研究索段初始索长误差的敏感性。之后,应用概率论的相关理论,写出索段索长误差用整索索长误差和节点连接偏差表示的数学关系式,并给出不同施工方法下的不同表达关系。最后,综合应用可靠度理论及线性规划方法,提出整索长度误差和节点连接标定偏差的控制限值。研究成果给采用定长索设计的单层索网幕墙结构的索长误差控制提供指导。
[Abstract]:Single-layer cable-net structure system has been widely used in large-scale glass curtain wall engineering.The method of fixed-length cable design is applied to its design and construction, which has obvious advantages.In the design of fixed length cable, the accuracy of cable length in cable net glass curtain wall and the calibration accuracy of joint connection will affect the tension force of each cable and the accuracy of joint configuration after tensioning.The configuration and mechanical properties of glass curtain wall are further affected.In this paper, the difference and relation between the two kinds of cable length errors are discussed respectively, and it is shown that both of them can be transformed into the cable length errors of the cable segment for further study.On this basis, the sensitivity of initial cable length error of cable segment is studied by combining two kinds of cable length errors.Then, applying the theory of probability theory, the mathematical expression of the cable length error expressed by the integral cable length error and the node connection error is given, and the different expression relations under different construction methods are given.Finally, by applying reliability theory and linear programming method, the control limits of the integral cable length error and the nodal connection calibration deviation are proposed.The research results provide guidance for the control of cable length error of single-layer cable-net curtain wall structure designed with fixed length cable.
【作者单位】：清华大学土木工程系;
【基金】：国家自然科学基金面上项目(51378288) 国家重点研发计划项目(2016YFC0701204)
【分类号】：TU399;TU767

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