灰色GM(0,N)法在轨道交通噪声预测中的应用

摘要

According to the measured data, based on the grey system theory, agrayrelational analysis was adopted in this paper to seek out the factors that affected rail transit noise.It was found that the train speed had a greater impact on the noise level than the distance from the track center.A linear regression model and GM (0, N) model were established, respectively, and the predicted values and measured data were compared.The results showed that the Gray GM (0, N) predicting method had a good performance, and it was an excellent noise prediction and control method.The research results had great references for identifying the rail transit noise influence factors and establishing the noise reduction scheme.%以实测样本数据为基础,根据灰色系统理论对列车车速、距轨道中心的距离两个因素进行灰色关联度分析,发现前者对线路侧方噪声级的影响要强于后者;分别建立线性回归模型和GM(0,N)模型,将预测值和实测值进行比较,发现灰色GM(0,N)模型的预测方法性能良好,是一种优秀的噪声预测方法.研究成果对轨道交通噪声影响因素的主次识别、降噪方案的选取具有一定的参考价值.