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A quantitative risk assessment method for tunnel water inrush disasters is developed to enhance safety risk prevention capabilities under the influence of water-bearing structures. Addressing the water inrush risks induced by the coupling effects of water-bearing structure spatial positioning and surrounding rock disturbance, an integrated evaluation methodology combining geological detection and mechanical analysis is proposed. The methodology comprises three core components: First, the transient electromagnetic method is employed for advanced water detection to accurately identify the three-dimensional spatial distribution of water-bearing structures. Second, graphical analysis is applied to partition the surrounding rock disturbance into failure zone Df, stress-disturbed elastic zone De, and natural stress zone, establishing a spatial superposition risk assessment model between water-bearing structures and disturbance zones. Finally, for medium or high-risk scenarios, a danger coefficient Kc calculation formula constrained by force equilibrium is derived to dynamically adjust risk levels. Engineering validation demonstrates: When a water-bearing structure in a tunnel case was 9.00 m from the tunnel wall, combined with disturbance boundary values of Df = 2.40 m and De = 12.65 m, the initial risk assessment identified medium risk. After recalculating Kc = 0.87, which is less than 1.00, the risk level was upgraded to high, consistent with subsequent actual water inrush incidents. Two key achievements are summarized as follows: a dual-level risk assessment framework of “preliminary determination-quantitative recheck” is established, achieving the transition from qualitative to quantitative risk grading, and the defined boundary values of the disturbance zone can provide a scientific basis for the minimum safe distance in advanced geological detection. The research outcomes form a complete technical system covering the entire process of “detection-analysis-evaluation-prevention” for tunnel water inrush risks, substantially improving assessment accuracy and offering innovative solutions for safe tunnel construction in complex geological conditions.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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