基于人工神经网络的顺层偏压隧道变形预测

Study on Prediction Model for Deformation of Unsymmetrical Loading Tunnel in Bedding Strata Based on Artificial Neural Network

根据顺层偏压隧道工程实际监控量测数据,结合工程地质条件,基于人工神经网络,建立了顺层偏压大变形隧道人工神经网络预测模型,得到了顺层偏压隧道变形预测值。通过实测与模型计算预测变形值对比分析得出:人工神经网络预测模型在顺层偏压隧道大变形预测方面有很高的适用性能。

According to the actual monitoring and measurement data of unsymmetrical loading tunnel engineering in bedding strata,and combined with the engineering geological conditions,the artificial neural network based prediction model was established to predict the deformation of unsymmetrical loading tunnel in bedding strata.Through comparing the measured and calculated values,it was found that the artificial neural network based prediction model is of very high feasibility in terms of large deformation prediction of unsymmetrical loading tunnel in bedding strata.