| 近距离重叠地铁隧道盾构法施工地面变形预测 |
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| 引用本文： | 汪敏,廖少明,侯学渊.近距离重叠地铁隧道盾构法施工地面变形预测[J].同济大学学报(自然科学版),2004,32(9):1141-1144,1152. |
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| 作者姓名： | 汪敏 廖少明 侯学渊 |
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| 作者单位： | 同济大学,地下建筑与工程系,上海,200092 |
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| 摘 要： | 针对盾构施工与监测过程为一时间序列的特点 ,从滚动优化思想出发 ,建立了部分最小二乘神经网络模型 ,预测盾构掘进一定距离后产生的地面变形 .最后将该模型应用到上海市轨道交通某近距离重叠地铁区间隧道工程实例中 ,结果证明 ,其训练以及预测效果均可以满足工程需要 .
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| 关 键 词： | 盾构隧道 地面变形预测 人工神经网络 滚动优化 |
| 文章编号： | 0253-374X(2004)09-1141-04 |
Ground Deformation Prediction of Shield Tunnelling in Closely Overlapped Subway Tunnel Construction |
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| WANG Min,LIAO Shao-ming,HOU Xue-yuan.Ground Deformation Prediction of Shield Tunnelling in Closely Overlapped Subway Tunnel Construction[J].Journal of Tongji University(Natural Science),2004,32(9):1141-1144,1152. |
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| Authors: | WANG Min LIAO Shao-ming HOU Xue-yuan |
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| Abstract: | In considering that the shield tunnelling construction and measurement development in time sequence, an artificial neural networks model was made to predict the ground deformation. This model features in its conception of the receding optimization, which is realized by partial least squares networks. The application of this model in two overlapped tunnels of the Shanghai metro projects was successful. |
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| Keywords: | shield tunnelling ground deformation prediction artificial neural networks receding optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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