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通过分析传统GM(1,1)模型的局限性,提出了混合整体最小二乘法(混合LS-TLS)的GM(1,1)模型,并将其应用于宁夏某深基坑水平位移的监测中。同时,将此模型与最小二乘法(LS)的GM(1,1)模型及整体最小二乘法(TLS)的GM(1,1)模型进行了对比,分析了3种模型所求水平位移的预测值。结果表明,混合LS-TLS的GM(1,1)模型更符合工程实际,预测精度更高,在深基坑水平位移监测中具有一定的实用性。
By analyzing the limitation of the traditional GM (1,1) model, the GM (1,1) model of mixed whole least squares (LS-TLS) is proposed and applied to the monitoring of the horizontal displacement of a deep foundation pit in Ningxia in. At the same time, this model is compared with the GM (1,1) model of the least square method (LS) and the GM (1,1) model of the global least squares method (TLS), and the horizontal displacement of the three models Predictive value. The results show that the GM (1, 1) model of LS-TLS is more in line with engineering practice and has higher prediction accuracy and practicality in horizontal displacement monitoring of deep excavation.