%0 Journal Article %T 建筑结构地铁振动响应数值预测分析方法研究<br>Study on numerical prediction method for building vibration response caused by the subway train %A 邬玉斌 %A 宋瑞祥 %A 吴雅南 %A 何蕾 %A 吴丹< %A br> %A WU Yubin %A SONG Ruixiang %A WU Yanan %A HE Lei %A WU Dan %J 铁道科学与工程学报 %D 2018 %X 随着城市轨道交通的快速发展，地铁线路距离建筑结构越来越近，准确预测建筑室内振动响应是地铁线路规划、新建结构环境振动影响评价及控制措施设计的重要问题。针对地铁临近新建结构地铁振动影响高精度预测技术的应用需求，研究基于场地土地表振动现场实测与数值仿真相结合的高精度数值预测分析方法。构建由不同幅值不同频率正弦力叠加而成的列车荷载模型，根据列车实际运行速度和车体几何参数编制多点移动力荷载施加程序；基于上述列车荷载模型及输入方法，结合场地土地表振动实测数据，通过优化列车荷载频谱特征和峰值，达到快速提高数值模型计算精度的目的；研究结果表明：本文方法能较好的反映地铁振动响应频谱特性，加速度振级计算精度高，且不需要进入隧道内部进行振动源强测试，降低了测试难度，但仅适用于已开通地铁线路对周边环境的振动影响预测分析。<br>the exact prediction for planed-building vibration response on the nearby the existing subway line is the basis and premises for the environmental vibration assessment and control measure design. The poor prediction accuracy and strict test conditions are the two main problems for the existing forecasting methods，the fine numerical prediction method is proposed based on the soil vibration test in this paper. The train load is superposition of adjustable sinusoidal force of different frequency, the train velocity and wheel distance influence the vibration frequency characteristic are considered in the train load input; a tunnel-soil present situation finite element model is established, and the calculation accuracy is improved by optimizing train load parameters based on the soil measured vibration frequency characteristic. Under assuring the calculation accuracy of present situation model, the building model is established on the present situation model and the building vibration response can be calculated; The results show that the numerical prediction method is simple, feasible and has high precision of vibration frequency and acceleration level, it does not need to enter the tunnel to carry out the vibration source test, but it is only applicable to subway line opened %K 列车荷载模型 %K 振动测试 %K 地铁环境振动 %K 预测方法 %K 数值仿真< %K br> %K train load model %K site soil vibration measurement %K metro environmental vibrations %K prediction method %K numerical simulation %U http://www.jrse.cn/paper/paperView.aspx?id=paper_318830