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基于灰色系统理论的装配式地铁车站基坑变形预测研究

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装配式地铁车站基坑在施工过程中需承受后期的大型装配式构件吊装的循环重载,其变形问题对车站安全高效施工具有重要影响.灰色系统理论在基坑变形预测中广泛应用,其中灰色GM(1,1)模型应用较多,而灰色GM(2,1)模型相对较少.文章运用灰色系统中的GM(1,1)模型和GM(2,1)模型分别对装配式车站基坑的2个监测点数据进行预测分析,对比2种模型结果.经过后验差检验分析,发现GM(1,1)模型和GM(2,1)模型精度都属于"一级"(优).与GM(1,1)模型的预测结果相比,在2个测点预测中,GM(2,1)模型的平均相对误差均小于5%,其预测结果相对误差更小,更接近实际值,因此预测精度更高,具有很好的应用价值.
Research on deformation prediction of prefabricated metro station foundation pit based on grey system theory
Prefabricated metro station foundation pits shall withstand the cyclic heavy loads of large prefabricated components lifting at a later stage during the construction process,and their deformation issue are particularly important for the safe and efficient construction of the station.The grey system theory is widely used in the prediction of foundation pit deformation,in which the grey GM(1,1)model is more commonly used,while the grey GM(2,1)model is less frequently used.In this article,the GM(1,1)model and GM(2,1)model in the grey system are used to predict and analyze the data of two monitoring points of the prefabricated station foundation pit,and the results of the two models are compared,and it is concluded that the accuracy of the GM(1,1)model and GM(2,1)model are all"first level"(excellent)after the posterior difference test analysis.Compared with the prediction of GM(1,1)model,the average relative error of GM(2,1)model in the prediction of the two measurement points is less than 5%,and the relative error of the prediction result of GM(2,1)model is smaller.In the simulation and prediction of foundation pit deformation data,it is closer to the actual value and has higher prediction accuracy,which has good application value.

metro stationprefabricatedgrey systemGM(1,1)modelGM(2,1)modelfoundation pit deformationprediction

白丽扬、王广群、郑智雄、于广明、雷军、李玉峰

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青岛理工大学,山东 青岛 266033

吕梁学院,山西 吕梁 033001

中国建筑第五工程局有限公司,湖南 长沙 518101

地铁车站 装配式 灰色系统 GM(1,1)模型 GM(2,1)模型 基坑变形 预测

2024

现代城市轨道交通
中国铁道科学研究院

现代城市轨道交通

影响因子:0.301
ISSN:1672-7533
年,卷(期):2024.(12)