【作者】 雷敏；

【导师】 李小珍；

【作者基本信息】 西南交通大学 ， 桥梁与隧道工程， 2008， 硕士

【摘要】 随着高强度材料的使用,结构分析方法的进步,以及施工技术的发展,斜拉桥在近几十年得到快速发展,但斜拉桥桥梁结构属于高次超静定的柔性结构,成桥状态(恒载内力和成桥线形)与施工过程有相关性。在施工阶段中,随着斜拉桥荷载状态和结构体系的不断变化,结构内力和变形亦不断变化,因此必须对施工顺序做出明确规定并对结构内力和变形加以有效控制。本文概述了国内外斜拉桥及斜拉桥施工控制的发展情况;详述了斜拉桥施工控制系统的基本理论、原则、内容、方法及影响因素;详述了斜拉桥施工控制仿真分析方法(正装法、倒拆法、无应力状态法);分析讨论了目前已经应用于桥梁工程实践中的施工控制方法(最小二乘法、灰色系统理论、卡尔曼滤波法、人工神经网络法);详细推导了BP神经网络算法,从理论上论证了人工神经网络方法在大型斜拉桥施工控制中应用的可行性;在分析常规BP神经网络算法在桥梁施工控制应用中存在的缺陷的基础上,探讨了相应的改进方法;结合珠江黄埔大桥北汊斜拉桥工程实例,采用MATLAB程序语言和BP神经网络算法开发大型斜拉桥标高预测程序,取得了较好的预测效果;对比分析了大跨斜拉桥标高预测程序的参数,获得了一些有价值的结论和经验。更多还原

【Abstract】 With the employment of high strength material, improvement of structural analysis methods, development of construction methods, it is a new era of rapid development for the cable-stayed bridge in recent years. But the cable-stayed bridge is a high-order statically indeterminate and flexible structure, the design objective (the permanent load internal force and the final bridge line) has relativity with the process of construction. During construction, along with the variation of the load status and the structure system of the cable-stayed bridge, the structure internal force and the structure deformation change continuously. A specific ordain to the construction sequence must be established and effectively control in the construction must be actualized.In the thesis, the development status of cable-stayed bridge and the cable-stayed bridge construction control are summarized at home and abroad. The basic theory, principle, content, method and influence factor of the cable-stayed bridge construction control are expatiated. The emulation analysis methods of cable-stayed bridge construction control (forward-calculation method, back-running method, no-stress method) are amplified. Least square method, grey system theory, Kalman filter method, artificial neural network method are discussed and analyzed from the point of construction control methods that were used in bridge project. BP neural networks algorithm is derived in detail to prove the possibility of the BP neural network method used to construction control from theory. At the foundation of analyzing the blemish of BP neural networks algorithm in physically applied, a homologous improvement method is proposed. Based on the practical engineering of the Huangpu Bridge over north branch of Pear River in Guangzhou, a long-span cable-stayed bridge elevation prediction procedure is designed with the MATLAB procedure language and BP neural networks algorithm and a favourable effect is achieved. Depending on the parameters analysis of the long-span cable-stayed bridge elevation prediction procedure, some valuable conclusions and experiences are obtained.更多还原