盾构施工引起地表变形的人工神经网络研究

Prediction of Ground Deformation During Tunnel Excavation by ANN

讨论了地铁区间隧道盾构施工引起的地表变形机理,并结合某地铁工程的实践,利用神经网络技术处理非线性问题的优势,应用人工神经网络对地表沉降进行了预测,经与现场实测值作对比分析,证实该方法具有较高的准确性。研究表明,该方法对处理此类非结构性规律的多因素综合影响问题较一般方法具有更强的适应性。

This paper discusses the mechanism of ground surface settlement in the shield tunnel construction of the city metro subway. Combining the engineering practice of certain metro - subway, the prediction of the ground surface settlement nearby construction site has been made by using Artificial Neural Network （ ANN） technology, which has advantages in dealing with the nonlinear problem. By contrast of the predicted values with its measured data in locale, this article proves the feasibility and suitability of the above mentioned soft science method used in this field.