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盾构施工地面长期沉降的神经网络预测
Artificial Neural Network Prediction of Surface Long - term Settlement Induced by Shield Construction
【摘要】 基于逆传播人工神经网络方法,建立了盾构施工地面长期沉降的非线性预测模型,建立了沉降与诸多影响因素:所处位置、时间、上覆土性参数及盾构施工参数等的关系模型。通过在上海地铁2号线龙东路-中央公园站区间资料的验证,发现与实际比较吻合。
【Abstract】 The non - linear prediction model of surface long - term settlement induced by shield construction has been established based on the artificial neural network method. The relationship between the settlement and location, time, parameters of overlay soil and construction is also presented. It proves tallied with observed values in field in No. 2 metro line.
- 【文献出处】 上海地质 ,Shanghai Geology , 编辑部邮箱 ,2004年03期
- 【分类号】U455
- 【被引频次】24
- 【下载频次】269