【摘要】 讨论了城市地铁区间隧道盾构掘进中对土体的施工扰动及引起地层移动和地表变形沉降的力学机理 ,概括了施工扰动影响的主导因素。结合上海市地铁 2号线的工程实践 ,采用了人工智能神经网络技术对地表沉降进行了预测 ,经与现场实测值作对比分析 ,论证了上述软科学方法的可行性和适用性更多还原

【Abstract】 This paper discusses the mechanism of ground movement and ground surface settlement induced by soil disturbance in the shield tunnel construction of the city metro subway. In the paper, the chief effecting factors of shield driving disturbance are studied. Combining with engineering practice of the 2 nd line of metro subway in Shanghai, prediction of the ground surface settlement nearby construction site has been made by using artificial intelligence ANN technology.By contrast of the predicted values with its measured data in situ, this article proves the feasibility and suitability of the above mentioned soft science method using in this field.更多还原