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桥基隧道明挖施工多元信息集成智能方法与应用 被引量:5

Integrate intelligent method for multi message of tunnel open excavation adjoining bridge pile
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摘要 针对大连地铁香工街车站明挖施工邻接桥桩的问题,构建施工远程信息自动化监测体系,进行静力水准仪、电子测斜仪、电子轴力计等传感器布置,获得施工过程多元信息。基于Visual C#.Net平台自主开发了集成智能分析系统,引入支持向量机和差异进化算法,建立三维力学参数反分析和时间序列预测方法。该软件系统包括数据操作、反馈分析、数据报警和可视化输出的模块。将该方法系统应用于大连地铁香工街车站施工过程,进行多元信息采集,利用实际监测的信息数据,调用系统差异进化算法进行第2层和第3层岩石弹性参数搜索,反馈计算值与监测值的最大相对误差为8.23%,进而简化了倒换撑方案。然后通过对QCJ-13-01桥墩监测数据的DE-SVM非线性时间序列预测和超前报警,及时采取隔离桩措施,有效地控制了桥桩变形。该方法系统集自动化远程监测硬件技术和计算智能分析功能于一体,为类似复杂地下工程信息化施工提供先进有效的途径。 Aiming at the problem of open excavation adjoining bridge piles of Xianggong station construction of Dalian subway line No. 2, the paper constructed the remote automatic monitoring system, arranged the sensors of static force level, electronic yaw equipments and electronic axial force meter, etc. to monitor the information of construction process. Based on Visual C#. Net platform, an intelligent analysis system is developed combining support vector machine and differential evolution algorithm, three-dimensional mechanical parameters back analysis method and time series forecast method are constructed, the software includes four modules of data operation, feedback analysis, data forecast and visualization display. The method and system are applied to the open excavation of Xianggong station. The multiunit messages are collected, then based on the monitoring data, the elastic parameters of the second layer and the third layer are identified by differential evolutionary algorithm; the maximal relative error between the results of feedback calculation and monitoring data is 8.23%. The supporting schemes in the excavation process are simplified accordingly. Furthermore, the sedimentation of bridge pier QCJ-13-01 is forecasted and alarmed by DE-SVM nonlinear time series model; and the measurement of micro tubular insulating piles is adopted at once, which can control the bridge pier settlement effectively. The method combines advanced hardware technology and software analysis function, providing effect approach for complex underground engineering.
出处 《岩土力学》 EI CAS CSCD 北大核心 2014年第2期490-496,共7页 Rock and Soil Mechanics
基金 国家自然科学基金(No.51079010) 中央高校基本科研业务费资助项目(No.2011JC012 No.2012TD015)
关键词 明挖 多元信息 时间序列预测 集成智能 支持向量机 open excavation multiunit message time series prediction integrate intelligence support vector machine
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