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Analysis of Rock Failure Modes of High and Steep Slopes based on non-Contact Measurements

In: Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)

Author

Listed:
  • Jiang Tao

    (Chengdu University of Technology, State Key Laboratory of Geohazard Prevention and Geoenvironment Protection)

  • Cui Shenghua

    (Chengdu University of Technology, State Key Laboratory of Geohazard Prevention and Geoenvironment Protection)

Abstract

The stability of rock slopes is significantly influenced by rock discontinuity structural planes, yet traditional manual measurement methods are often hindered by incomplete data, low efficiency, and the inaccessibility of steep slopes. To address these issues, this study introduces an innovative approach using UAV close photogrammetry combined with an automatic structural surface extraction algorithm, which efficiently captures detailed structural surface information. By conducting multi-angle UAV close photogrammetry on the quarry slope of Wadugou, this paper obtained ultra-high resolution images and constructed a refined 3D model using an image-based 3D point cloud method. Advanced automatic discontinuity dentification techniques, such as random Hough space transformation for point cloud normal vector calculation and structural surface point cloud clustering, were applied to analyze the slope’s damage patterns. The results indicated that the slope is characterized by four main structural surfaces, with the wedge damage pattern being the most probable at 36.87%, notably with a 91.57% probability for the J2 vs J3 combination. This method is not only cost-effective and labor-light but also highly efficient, providing a rapid analysis of slope rock mass damage patterns, which is invaluable for mine safety and geological engineering applications.

Suggested Citation

  • Jiang Tao & Cui Shenghua, 2025. "Analysis of Rock Failure Modes of High and Steep Slopes based on non-Contact Measurements," Advances in Economics, Business and Management Research, in: Sen Qiao & Hongbin Cao & Aiwen Liu & Xueliang Chen & Tiefei Li & Peng Han (ed.), Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024), pages 262-269, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-946-9_34
    DOI: 10.2991/978-94-6463-946-9_34
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