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首页> 外文期刊>Engineering Structures >Form-finding method for the target configuration under dead load of a new type of spatial self-anchored hybrid cable-stayed suspension bridges
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Form-finding method for the target configuration under dead load of a new type of spatial self-anchored hybrid cable-stayed suspension bridges

机译：一种新型空间自锚式混合电缆停留悬架悬挂桥机的死载下目标配置的形成方法

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General form-finding problems of cable-supported bridges are established based on a design scenario in which rigidly fixed starting control points must be given as necessary design constraints prior to independent analysis of any of its cable subsystems. This article presents a form-finding method to address a new case, in which the starting control point serves as an intermediate, flexibly variable connection, to couple two related cable subsystems in a multi-nonlinear environment for the target configuration under dead load (TCUD) of a novel type of spatial self-anchored hybrid cable-stayed suspension (HCSS) bridge. A two-layer framework is proposed by integrating finite element analysis (FEA) and analytical formulas with optimization algorithms to form a self regulated interactive analysis among subsystems in an iterative manner. The outer layer seeks to achieve self equilibrium of the global system under the control information of the TCUD, while the inner layer optimizes the subsystems in terms of the initial tensions in the main cables, stay-cables, branches and hangers to obtain a rational mechanical state of the bridge. Then, the TCUD and the intermediate starting control points are determined. To achieve computational stability, a high-performance accelerated Steffens-Newton (ASN) differential algorithm is developed for the shape finding of the cable-hanger subsystem, whereas the non-dominated sorting genetic algorithm (NSGA-II) is adopted as a multiobjective optimizer for TCUD optimization of the other subsystems. The proposed framework is applied to a real-scale self-anchored HCSS bridge, and its validity and performance are demonstrated by comparison studies with a non-optimal scheme and in-field test data.
机译：基于设计场景建立了电缆支撑的桥梁的一般形式发现问题，其中必须在任何电缆子系统的独立分析之前作为必要的设计约束来给出刚性固定的启动控制点。本文介绍了一种形成新案例的表单查找方法，其中启动控制点用作中间，灵活的变量连接，将两个相关电缆子系统耦合在死载下目标配置的多非非线性环境中（TCUD ）一种新型的空间自锚式混合电缆停留悬架（HCSS）桥。通过将有限元分析（FEA）和分析公式与优化算法集成，提出了一种双层框架，以迭代方式在子系统中形成自我监管的交互式分析。外层旨在在TCUD的控制信息下实现全球系统的自平衡，而内层就主电缆，留钢电缆，分支机构和吊架的初始紧张局部优化了子系统，以获得理性机械桥梁的状态。然后，确定TCUD和中间启动控制点。为了实现计算稳定性，开发了一种高性能加速的Steffens-Newton（ASN）差分算法用于电缆悬挂器子系统的形状找到，而非主导的分类遗传算法（NSGA-II）被用作多目标优化器对于其他子系统的TCUD优化。所提出的框架应用于真正的自锚定HCSS桥，通过对非最佳方案和现场测试数据的比较研究来证明其有效性和性能。

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