地铁列车振动环境响应预测方法
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摘要
我国地铁列车振动环境响应预测中采用的经验法计算简单,可对线路上多个敏感目标快速预测,但它的缺点在于预测的输出量单一、预测精度低;解析法、半解析法和数值法可利用计算机模拟技术对单个敏感目标进行预测,但是用于同时预测地铁沿线多个敏感目标的列车振动环境响应时,计算工作量大、时间长,并且预测的精度和可靠性存在不确定性。为了降低预测误差、减少预测的不确定性,可辅之基于现场测试的两位校准法和实测传递函数法对预测模型进行校正和验证预测结果。为提高预测的可靠性,并兼顾预测精度和效率,应将整条地铁线路按敏感目标距线路的距离分为不同的预测区域、按照敏感目标对环境振动影响的敏感程度分为不同等级、按照地铁建设工程项目的各个设计阶段,综合运用既有各类预测方法,动态进行分区域、分等级和分阶段的地铁列车振动环境响应预测;建议开展既适用于整条地铁线路、又适用于线路个别重点敏感目标的地铁列车振动环境响应预测方法以及动态预测评价体系的研究。
The empirical method used for predicting subway train-induced environmental vibration responses in China is easy to calculate,and it can quickly predict vibrations for many sensitive objects near subway lines.Nevertheless,it has the disadvantages of single output index and low prediction precision.With the help of computer simulation,analytical,semi-analytical and numerical method can be used to predict certain sensitive object.When predictions for more objects are needed,however,there are large workloads and longer calculation time.Moreover,the uncertainties of prediction precision and reliability also exist.In order to reduce prediction errors and decrease prediction uncertainties,the calibration method with both two positions of input and output based on in-situ measurements as well as the measured transfer function can help calibrate prediction model and validate prediction results.To improve prediction reliability,and to consider both prediction precision and efficiency,prediction zones should be distinguished according to the distances between sensitive objects and subway lines,different classifications should be defined according to the sensitivities of objects to environmental vibration impacts,and different prediction stages should be distinguished by different design stages.The existing prediction methods are suggested to be integrated,and the dynamic vibration response predictions are suggested to be performed by different zones,classifications and stages.Finally,it is suggested that the design stage-accompanied prediction and evaluation system for subway train-induced vibrations should be developed in future,which can predict vibrations for both whole subway lines and certain sensitive objects.
引文
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