| 姜风仓.隧道涌水段大变形成因分析及变形预测[J].安徽建筑大学学报,2024,32(4):71-75 |
| 隧道涌水段大变形成因分析及变形预测 |
| Cause Analysis and Deformation Prediction of Large Deformation in Water Inrush Section of Tunnel |
| |
| DOI： |
| 中文关键词: 隧道 涌水段 大变形 变形预测 成因分析 |
| 英文关键词: tunnel water inrush section large deformation deformation prediction cause analysis |
| 基金项目:陕西省教育厅2023年度青年创新团队科学研究计划项目（23JP027）；中国铁建股份有限公司2022年度科研基金项目（2022-C20） |
|
| 摘要点击次数: 932 |
| 全文下载次数: 0 |
| 中文摘要: |
| 为确保隧道涌水段的施工安全，以某隧道涌水段事故为工程背景，结合变形监测成果及地质条件，开展大变形特征分析及其成因分析，并进一步通过FA-GRNN模型的变形预测来评价涌水段的后续危险性发展趋势。实例分析表明：隧道涌水段的大变形特征显著，其成因相对较多，主要包括地形地貌成因、地质构造成因、地下水发育成因、施工扰动成因及爆破扰动成因，各成因相互关联，耦合程度相对较高，共同作用致使大变形事故的发生；在4个监测点的预测结果中，相对误差平均值介于2.04% ~ 2.21%，具有较高的预测精度，验证了FA-GRNN模型的适用性，且涌水段后续变形速率介于2.85 ~ 4.75 mm/d，速率值仍较大，并无收敛趋势，存在较大的危险性，建议尽快采取加固措施。 |
| 英文摘要: |
| To ensure the construction safety of the tunnel water inflow section, considering the deformation monitoring results and geological conditions of a tunnel water inflow section, a large deformation feature and its causes are analyzed. Furthermore, the FA-GRNN model is used to carry out the deformation prediction and the subsequent risk evaluation of the water inflow section. The results show that the large deformation in the water inflow section of the tunnel are significant, and the causes are multiple, including terrain and geomorphology, geological structure, groundwater development, construction disturbance, and blasting disturbance, which are interrelated and highly coupled, lead to the large deformation accidents. For the prediction results of the four monitoring points, the average relative error is between 2.04% and 2.21%, which is highly accurate and verifies the applicability of the FAGRNN model. Moreover, the subsequent deformation rate of the water inflow section is between 2.85 and 4.75 mm/d. The rate value is still large without a convergence trend, posing a significant risk, and the reinforcement measures are recommended as soon as possible. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
