ISSN 1671-1092 CN 33-1260/TK

大坝与安全 ›› 2024 ›› Issue (6): 28-33,51.

• 监测技术 • 上一篇    下一篇

考虑面板裂缝的面板堆石坝渗流量安全监控模型

石中文 ,潘文明 ,郭书宏   

  1. 1.南京水利科学研究院水文水资源与水利工程科学国家重点实验室,江苏 南京,210029; 2.河海大学,江苏 南京,210024
  • 收稿日期:2024-02-20 出版日期:2024-12-15 发布日期:2025-03-07
  • 作者简介:石中文(1991—),男,山东沂水人,博士,工程师, 研究方向主要为水工建筑物健康诊断与安全评估、水利工 程无损检测与安全监控、新型材料与结构开发应用。

Seepage safety monitoring model of concrete face-slab rockfill dam considering face-slab cracks

SHI Zhongwen, PAN Wenming and GUO Shuhong   

  1. State Key Laboratory of Hydrology, Water Re⁃ sources and Hydraulic Engineering, Nanjing Hydraulic Research Institute
  • Received:2024-02-20 Online:2024-12-15 Published:2025-03-07

摘要: 将面板裂缝作为大坝渗流量的一个影响因子,提出考虑面板裂缝的混凝土面板堆石坝渗流量安全监控统 计模型和RBFNN模型。结合具体工程,建立某面板堆石坝的渗流监控统计模型和RBFNN模型,并对渗流量进行 了预测,预测结果与实际监测值接近,同时,经RBFNN计算得到的渗流量各影响因子比重与传统统计方法计算结 果相差不大,表明本研究提出的模型是有效、适用的。研究成果对带裂缝面板堆石坝渗流量测值出现异常情况的 处理具有一定指导意义。Face-slab crack is considered as an influence factor of dam seepage to propose the seepage safety monitoring statistical model and RBFNN model. Combined with the specific project, the seepage monitoring statistical model and RBFNN model of a concrete face-slab rockfill dam are established, and the seepage flow is predicted. The prediction results are close to the actual monitoring values. At the same time, the weight of each influence factor of seepage flow calculated by RBFNN is not significantly different from the results calculated by traditional statistical methods, which shows that the model pro⁃ posed in this study is effective and applicable. The research results are of guiding significance for treat⁃ ment of the abnormal seepage flow mornitoring values of concrete face-slab rockfill dam with cracks.

关键词:

Abstract: Face-slab crack is considered as an influence factor of dam seepage to propose the seepage safety monitoring statistical model and RBFNN model. Combined with the specific project, the seepage monitoring statistical model and RBFNN model of a concrete face-slab rockfill dam are established, and the seepage flow is predicted. The prediction results are close to the actual monitoring values. At the same time, the weight of each influence factor of seepage flow calculated by RBFNN is not significantly different from the results calculated by traditional statistical methods, which shows that the model pro⁃ posed in this study is effective and applicable. The research results are of guiding significance for treat⁃ ment of the abnormal seepage flow mornitoring values of concrete face-slab rockfill dam with cracks.

Key words: concrete face-slab rockfill dam, face-slab crack, seepage monitoring model, weight of influ? ence factor

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