笋溪河特大桥主缆线形影响参数分析

发布时间：2018-06-24 09:05

本文选题：悬索桥 + 施工监控　；参考：《公路》2017年11期

【摘要】：以重庆江津至贵州习水高速公路笋溪河特大桥为研究对象,从施工监控的角度,对悬索桥线形控制中影响成桥线形、无应力索长、索鞍预偏量以及空缆线形的参数进行分析研究,选取了计算方法、主缆弹性模量、主缆自重、加劲梁自重、环境温度作为重点研究参数,采用解析法与Midas/Civil相结合的研究方法。通过计算得出结论,计算方法对线形计算有较大影响,对于特大跨悬索桥应采用高精度的分段悬链线法和节线法;主缆弹性模量、加劲梁重量、环境温度对主缆成桥标高、空缆标高、无应力索长、索鞍预偏量等几项线形指标的影响最大,敏感度最高,是施工监控中需要重点关注的参数指标;为提高主缆线形和成桥线形的监控精度,在架设之前,对材料参数和荷载参数进行准确统计和测定;架设过程中,需重点监控环境参数的变化。
[Abstract]:Taking the Chungking Jiang Jin to Guizhou Xishui Expressway Chuanxihe Bridge as the research object, from the point of view of construction monitoring, the linear shape of suspension bridge is affected and the length of the cable is not stressed. The parameters of cable saddle predeflection and cable shape are analyzed and studied. The calculation method, the elastic modulus of the main cable, the weight of the stiffened beam and the ambient temperature are selected as the key parameters. The analytical method is combined with the Midas / Civil method. It is concluded by calculation that the calculation method has great influence on the line shape calculation, the high precision segmented catenary method and the nodal line method should be used for the long-span suspension bridge, and the elastic modulus of the main cable, the weight of the stiffened beam and the ambient temperature should be used to mark the main cable. In order to improve the monitoring accuracy of the main cable line and the bridge shape, the cable elevation, the length of the cable without stress, the cable saddle pre-deflection and so on have the greatest influence and the highest sensitivity, which is the parameter index that needs to be paid attention to in the construction monitoring and control, in order to improve the monitoring accuracy of the main cable line and the bridge line, before the erection, The material parameters and load parameters are accurately counted and measured, and the changes of environmental parameters should be monitored during erection.
【作者单位】：贵州大学;贵州顺康路桥咨询有限公司;
【基金】：贵州大学2015年省级本科教学工程建设项目,项目编号SJJG201517 贵州大学2017年研究生创新基金项目,项目编号2017033
【分类号】：U448.25

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