Assessment of railway vibrations using an efficient scoping model
Assessment of railway vibrations using an efficient scoping model
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DOI：
10.1016/j.soildyn.2013.12.003
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发表时间：
2014-03-01
影响因子：
4
通讯作者：
Forde, M. C.
中科院分区：
文献类型：
--
作者：
Connolly, D. P.;Kouroussis, G.;Forde, M. C.
新的铁路线需要进行振动评估，以确定振动对当地社区的影响。低精度评估可能会以进一步详细评估或意外减振措施的形式显着增加未来项目成本。本文提出了一种新的、高精度的高速线路初始评估预测工具。新方法的一个主要优点是它能够在计算中包括土壤条件的影响。这是新颖的，因为目前的范围模型忽略了土壤条件，尽管这些特性是振动传播中最主要的因素。该模型还具有零运行时间，从而允许跨铁路网络的振动水平的快速评估。它是建立在使用一个充分验证的三维有限元模型，以产生合成振动记录的范围广泛的土壤类型。这些记录使用机器学习方法进行分析，以绘制土壤条件，列车速度和振动水平之间的关系。通过对欧洲4条高速铁路线的两个独立的国际振动指标的预测，验证了该方法的有效性，结果表明，该方法具有较高的预测精度，可减少新建高速铁路线的详细振动分析工作量。这避免了以现场实验或大型数值模型形式进行昂贵的深入研究。因此，使用新工具可以节省成本。(C)2013爱思唯尔有限公司保留所有权利。
Vibration assessments are required for new railroad lines to determine the effect of vibrations on local communities. Low accuracy assessments can significantly increase future project costs in the form of further detailed assessment or unexpected vibration abatement measures.This paper presents a new, high accuracy, initial assessment prediction tool for high speed lines. A key advantage of the new approach is that it is capable of including the effect of soil conditions in its calculation. This is novel because current scoping models ignore soil conditions, despite such characteristics being the most dominant factor in vibration propagation. The model also has zero run times thus allowing for the rapid assessment of vibration levels across rail networks.First, the development of the new tool is outlined. It is founded upon using a fully validated three dimensional finite element model to generate synthetic vibration records for a wide range of soil types. These records are analysed using a machine learning approach to map relationships between soil conditions, train speed and vibration levels. Its performance is tested through the prediction of two independent international vibration metrics on four European high speed lines and it is found to have high prediction accuracy.A key benefit from this increased prediction accuracy is that it potentially reduces the volume of detailed vibration analyses required for a new high speed train line. This avoids costly in-depth studies in the form of field experiments or large numerical models. Therefore the use of the new tool can result in cost savings. (C) 2013 Elsevier Ltd. All rights reserved.