基于现场脉冲激励的地铁列车振动环境影响预测模型研究

项目名称： 基于现场脉冲激励的地铁列车振动环境影响预测模型研究

项目编号： No.51278043

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 建筑科学

项目作者： 刘维宁

作者单位： 北京交通大学

项目金额： 80万元

中文摘要： 地铁运营引起建筑物内振动及二次噪声，越来越多的影响到人们的生活和工作，干扰精密仪器正常工作等，已成为城市轨道交通建设的三大障碍之一。其根源在于目前使用的环评方法预测精度很难满足工程实际的要求，准确的预测是解决问题的关键。申请者的研究团队对此持续探索了十几年，在对系统振动传递理论深入研究的基础上，提出一种新的环境振动预测方法-实测脉冲传递函数法。该方法基于线路位置到敏感目标的传递函数现场测试，结合振源振动数据，通过matlab建立数学预测模型，利用仿真计算提高模型精度，预测敏感目标振动响应。经实验室试验初步验证此方法预测准确度很高。本课题旨在进一步开展此方法的现场原位预测验证，研究适用于地铁初步设计与施工图设计阶段的钻孔脉冲激励预测法的关键技术，可彻底改变现在仅依据环评经验预测进行线路初步设计直到轨道施工设计的不合理局面。为精确预测地铁运营环境影响提供一个有力的技术手段。

中文关键词： 列车振动；环境影响；三阶段预测；传递函数；深孔激振

英文摘要： The vibration and quadratic noise within the buildings induced by the metro train operation influence people's life and work, and disturb the accuracy of the precision instrument and so on, which have been one of the three big obstacles in the construction of urban rail transit. The reason is that the prediction accuracy of the current used environmental evaluation measures is hard to satisfy the engineerings' requirements. The research team of the applicant have explored the problem for over ten years and proposed a new ambient vibration prediction method one year ago, that is the measured pulse impact transfer function method on the basis of the further researches on the system vibration transfer theory. The method is based on the field tests of transfer function from rail line to the sensitive targets, and combines with the vibration data of the vibration source, and establishes the mathematical prediction model by Matlab, and improves the model accuracy making use of the simulation, and then predicts the vibration responses of the sensitive targets. The prediction accuracy is high by the preliminary confirmation of the Laboratory tests. This topic aims to carry out the in situ prediction confirmation of the measure, and research on the key technologies of the drill impact excitation prediction measure that i

英文关键词： metro train vibration；environmental influence；three-stage prediction；transfer function；deep-hole-excitation