Zhang Chi, Wu Kan, Huang Shengxiang, Li Lingai, Rao Xiaokang
School of Geodesy and Geomatics, Wuhan University, Wuhan, 430079, China.
School of Environment and Spatial informatics, China University of Mining and Technology, Xuzhou, 221116, China.
Sci Rep. 2025 Jan 2;15(1):529. doi: 10.1038/s41598-024-84220-7.
Bridges in mining areas deform primarily because of surface subsidence caused by underground mining. Analysis of these deformations should consider the synergistic effects between the foundation soil and the bridge superstructure. The geology of mining areas, which is inherently complex, significantly effects the selection of soil mechanics parameters, potentially leading to errors in model calculations. This study focuses on the bridge in the Fengfeng mining area of Handan, Hebei, and uses the probabilistic integral method to predict subsidence at the bottom section below the surface over a specified period. A finite element model of the bridge and foundation soil is constructed, utilising these predicted subsidence contour lines as boundary conditions for simulating the surrounding surface subsidence. Additionally, monitoring data of surface and bridge subsidence from the same period are collected to validate the simulation accuracy, analyse error types and causes, and propose model improvements. After the feasibility of the improvement schemes is validated, the revised model is employed to predict the bridge failure trend. The model parameters can be adjusted based on surface subsidence monitoring data, and by integrating these adjustments with the predicted subsidence results at the bottom section during various mining stages, the bridge failure trend can be accurately predicted.
矿区桥梁变形主要是由地下开采引起的地表沉陷所致。对这些变形的分析应考虑地基土与桥梁上部结构之间的协同效应。矿区地质条件本身就很复杂，对土力学参数的选择有重大影响，可能导致模型计算出现误差。本研究聚焦于河北邯郸峰峰矿区的桥梁，采用概率积分法预测特定时间段内地表以下底部断面的沉陷情况。构建桥梁与地基土的有限元模型，将这些预测的沉陷等值线用作边界条件来模拟周边地表沉陷。此外，收集同期的地表和桥梁沉陷监测数据，以验证模拟精度、分析误差类型及成因，并提出模型改进方案。在验证改进方案的可行性之后，使用修正后的模型预测桥梁破坏趋势。可根据地表沉陷监测数据调整模型参数，并将这些调整与各开采阶段底部断面的预测沉陷结果相结合，从而准确预测桥梁破坏趋势。
