期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：242
期号：6
页码：1-10
DOI：10.1088/1755-1315/242/6/062047
出版社：IOP Publishing
摘要：In order to decrease the negative influence of water inflow on tunnel construction, the risk of water inflow should be evaluated and predicted. Based on the method of experts' evaluation, combined with practical project, an assessment system of water inflow into mountain tunnel was set up, in which 9 evaluation indicators were proposed from the geological factors, hydrologic conditions and engineering three aspects, and every index weight was counted with the method of AHP. With BP neural network as an assessment tool, an integrated prediction model for water inflow into mountain tunnel was established. The assessment and prediction results for water inflow into tunnel of Guangzhou Metro line 21 were compared with results of expert classification. It shows that the error of BP neural network forecasting structure by means of AHP is not more than 3%, and it matches the required precision.
