基于三维激光点云的堆石坝检测坑三维重构及压实质量分析: 以双江口315 m超高堆石坝为例
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TV523

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国家重点研发计划(2023YFC3008305);四川省国际科技合作计划(2025YFHZ0165);国家自然科学基金(51809188)


3D reconstruction and compaction quality analysis of rock fill dam inspection pit based on 3D laser point cloud
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    摘要:

    堆石坝填筑质量对于保障大坝工程的安全与稳定运行具有重要意义,传统的灌水法存在耗时耗力、效率低、反馈滞后等问题。三维激光技术为堆石坝压实质量的精确检测提供了一种新的高效解决方案。本文设计了一种可变扫描距离及角度的辅助装置,配合手持式三维激光扫描仪,实现对坑壁凹凸和大小不一的检测坑模型三维重建和体积精确测量。为了减少检测坑凹凸坑壁对体积计算的影响,提出了一种基于点云分布的坑壁凹凸区域识别方法,实现了对具有不规则表面的检测坑体积的精确计算。在双江口315m高堆石坝的应用实例中,该方法成功地应用于不同坝料压实质量的检测,与传统的灌水法相比,12组压实指标的检测结果最大相对误差仅3.08%,证明了该方法的准确性和高效性。

    Abstract:

    The filling quality of rock-fill dams is considered important for ensuring the safety and stable operation of dam projects. The traditional water-filling method is recognized as time-consuming, labor-intensive, inefficient, and slow in feedback. A new and efficient solution is provided by three-dimensional (3D) laser technology for the accurate detection of rock-fill compaction quality. An auxiliary device with adjustable scanning distance and angle is designed. This device is combined with a handheld 3D laser scanner to achieve 3D reconstruction and precise volume measurement of inspection pits with uneven walls and varying sizes. To reduce the influence of uneven pit walls on volume calculation, a method for identifying uneven wall areas based on point cloud distribution is proposed. This method is applied to achieve accurate volume calculation for inspection pits with irregular surfaces. In the application case of the 315 m high Shuangjiangkou rock-fill dam, this method is successfully used for compaction quality detection of different dam materials. Compared with the traditional water-filling method, the maximum relative error of 12 sets of compaction indicators is only 3.08%. The accuracy and efficiency of this method are thus demonstrated.

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温庆文,吴钰,纪鹏,等. 基于三维激光点云的堆石坝检测坑三维重构及压实质量分析: 以双江口315 m超高堆石坝为例[J]. 科学技术与工程, 2026, 26(13): 5679-5686.
Wen Qingwen, Wu Yu, Ji Peng, et al.3D reconstruction and compaction quality analysis of rock fill dam inspection pit based on 3D laser point cloud[J]. Science Technology and Engineering,2026,26(13):5679-5686.

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  • 收稿日期:2025-06-18
  • 最后修改日期:2026-02-26
  • 录用日期:2025-11-26
  • 在线发布日期: 2026-05-18
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