基于BP神经网络的小净距隧道沉降预测

PREDICTION OF SETTLEMENT IN SMALL DISTANCE TUNNELS BASED ON BP NEURAL NETWORK

为对隧道拱顶沉降能够精确、快速的进行预测,将预测结果用于指导施工以及规避施工风险,文中以某小净距隧道为研究背景,引入BP神经网络,通过对神经网络进行设计,实现了对小净距隧道拱顶沉降的预测,通过与实测结果对比分析,验证了预测结果的准确性,可将该预测方法用于小净距隧道的拱顶沉降预测中。

To guide construction and avoid construction risks,the settlement of tunnel arches needs to be accurately and quickly predicted.Taking a small net distance tunnel as the research object,the BP neural network is designed to achieve the prediction of tunnel arch settlement.By comparing and analyzing with the measured results,the accuracy of the predicted results is verified,which can be applied to the prediction of arch settlement in small distance tunnels.