摘要
为准确评价运营状态下的斜拉索索力状态,以某实际运营的双塔钢箱梁跨海斜拉桥为背景进行研究。基于该桥的监测索力和温度数据,分析环境温度造成的索力变异性,在此基础上采用经验模态分解法从索力监测信号中分离车辆的影响,通过回归分析建立与温度无关的标准索力及其概率分布模型,提出基于标准索力分布特性的索力评价基准与评价方法。采用该方法对该桥的索力状态进行评价,结果表明:消除车辆和温度影响的标准索力分布具有良好的正态性;索力个别值抽样检验速度快,但可能受监测数据变异性的影响而失效;基于分布特性的索力评价能够更好地适应监测数据的变异性和随机性,具有更好的可靠性和实用性。
To accurately evaluate the stay cable tension of operation conditions,a sea-crossing double-pylon steel box girder cable-stayed bridge that has been put in real operation was cited as an example and the stay cable tension of the bridge was studied.Based on the monitoring data of the cable tension and temperatures,the cable tension variability casued by the ambient temperatures was analyzed and further to the analysis,the influences of the vehicles were separated from the monitoring signals of the cable tension,using the empirical mode decomposition method.By means of the regression analysis,the standard cable tension and its probability distribution model irrelevant to the temperatures was established,the evaluation criteria and method for the cable tension based on the characteristics of the standard cable tension distribution were proposed and with the proposed method,the cable tension of the bridge was evaluated.The results demonstrate that the standard cable tension distribution eliminating the influences of the vehicles and temperatures has quite good normality.The sampling checking of the individual values of the cable tension is rapid,but the checking may be ineffective,influenced by the variability of the monitoring data.The evaluation of the cable tension based on the distribution characteristics can better accommodate to the variability and randomness of the monitoring data and has still better reliability and practicability.
作者
孙宗光
陈一飞
邵元
SUN Zong-guang;CHEN Yi-fei;SHAO Yuan(Institute of Road and Bridge Engineering,Dalian Maritime University,Dalian 116026,China)
出处
《桥梁建设》
EI
CSCD
北大核心
2018年第3期79-84,共6页
Bridge Construction
基金
国家自然科学基金项目(51178070)~~
关键词
斜拉桥
斜拉索
索力
变异性
标准索力分布
健康监测
状态评价
cable-stayed bridge
stay cable
cable tension
variability
standard cable tension distribution
health monitoring
condition evaluation
