Bayesian Network Based Method for Support Parameter Design of Soft Rock Tunnel
Zhongwei Wang, Zhihua Yang · 2021 4th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA) · 2021
Based on the concise analysis of the influence of support parameters to stability and deformation of surrounding rock mass in soft rock tunnel, Bayesian network and corresponding uncertainty reasoning principle has been introduced to develop an expert system for selection of support parameters of soft rock tunnel with large span. By combining prior knowledge of domain experts with worksite data recorder, we get the posterior probability density of most nodes. The expert system was applied to compare several schemes about the support parameters of one tunnel. The field practices proved that the expert system has good applicability. The Bayesian network can reason the incomplete input information by using the prior knowledge of domain experts and worksite data recorder.