基于Dijkstra算法的岩质边坡最危险滑动面搜索

    SEARCH FOR THE MOST DANGEROUS SLIDING SURFACE OF ROCK SLOPE BASED ON DIJKSTRA ALGORITHM

    • 摘要: 岩质边坡稳定性分析的首要条件就是最危险滑动面的确定。本文以Dijkstra算法为原理对吉林省永吉县城市防洪工程岩质高边坡的潜在危险滑动面进行了研究。以数字近景摄影测量方法识别并解译了结构面系统。考虑到永吉高边坡的裂隙系统极为复杂,在三维尺度上搜索潜在最危险滑动面极为困难,因此选取研究区具有代表性的边坡并在二维尺度上采用Dijkstra算法搜索永吉高边坡主滑面上的潜在危险滑动面。研究结果表明,主滑面潜在危险滑动面的连通率介于59.87% ~70.45%。将最大连通率为70.45%的潜在危险滑动面作为潜在最危险滑动面。

       

      Abstract: The primary condition of rock slope stability analysis is the determination of the most dangerous sliding surface. In this paper, Dijkstra algorithm was utilized to search for the most dangerous sliding surface of the high rock slope of the urban flood control project in Yongji County, Jilin Province. The fracture system was identified and interpreted by the digital close-range photogrammetry method. Considering the complexity of the fracture system in the high rock slope, it is extremely difficult to search for the most dangerous sliding surface on the three-dimensional scale. Therefore, the representative slope of the study area was selected and the Dijkstra algorithm was used to search the most dangerous sliding surface in the two-dimensional section plane of high rock slope. The research results show that the connectivity rate of the potentially dangerous sliding surface of the main sliding surface ranges from 59.87% to 70.45%. The potentially dangerous sliding surface with the maximum connectivity rate of 70.45% is regarded as the potentially most dangerous sliding surface.

       

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