Tunnel Safety Risk Assessment Based on Multi-source Information Fusion

Abstract

Objective To effectively perceive and assess safety risks during tunnel construction process, a tunnel safety risk assessment method based on multi-source information fusion is proposed. Method A tunnel safety risk assessment method is introduced, with a total of 20 tunnel safety risk influencing factors selected from four categories: geology, design, environment, and construction management. Then a tunnel safety risk assessment index system is established, and safety levels are determined. The basic probability assignment of the safety risk assessment index is constructed and calculated based on fuzzy matter-element method. Fusion calculations of the multi-source data are performed based on Dempster-Shafer evidence theory, and the safety levels are classified according to the principle of maximum membership degrees. Taking Nanping Sta.-Houba Sta. interval (Nan-Hou Interval) of Chongqing Rail Transit Line 10 Phase II project as example, the effectiveness of the proposed method in practical engineering is verified. Result & Conclusion Tunnel construction safety risk levels can be classified from low to high into five levels: the geological risk level of Nan-Hou Interval tunnel project is Level II; the design risk level is Level III; the environmental risk level is Level IV; the construction management risk level is Level II; the overall tunnel engineering risk level is Level II. The overall tunnel project is in a relatively low-risk state. Through verification in actual projects, it is found that the tunnel risk assessment results are consistent with the actual risk situation on-site.

Keywords

• metro
• tunnel
• safety risk assessment
• multi-source information fusion