Optimized reconstruction of 3-D point clouds of rockfill dam test pits with fast volume calculation method and its application

王建; 朱戎熙; 吴志刚; 胡继峰; 李健; 甘元楠; 鲁艳春; 鲁洋

doi:10.11660/slfdxb.20250705

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Optimized reconstruction of 3-D point clouds of rockfill dam test pits with fast volume calculation method and its application

更新时间：2025-12-05

- Optimized reconstruction of 3-D point clouds of rockfill dam test pits with fast volume calculation method and its application
- Journal of Hydroelectric Engineering Vol. 44, Issue 7, (2025)
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- DOI：10.11660/slfdxb.20250705
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- Published Online：25 July 2025，
  
  Published：2025
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王建, 朱戎熙, 吴志刚, et al. Optimized reconstruction of 3-D point clouds of rockfill dam test pits with fast volume calculation method and its application[J]. Journal of Hydroelectric Engineering, 2025, 44(7).
DOI：

王建, 朱戎熙, 吴志刚, et al. Optimized reconstruction of 3-D point clouds of rockfill dam test pits with fast volume calculation method and its application[J]. Journal of Hydroelectric Engineering, 2025, 44(7). DOI： 10.11660/slfdxb.20250705.

摘要

试坑法是目前规范规定的堆石坝填料碾压质量检测方法，其中试坑体积量测的效率和精度直接影响堆石体压实质量检测的速度和准确性。随着三维激光扫描技术的快速发展，三维点云采集难度下降，且精度大幅提升，为替代常规灌水法快速检测堆石体试坑体积提供了新途径。论文提出一种基于三维激光扫描技术的堆石坝试坑体积快速计算方法，构建集试坑三维点云数据获取、配准拼接优化以及快速体积计算为一体的成套流程；通过标准模型和室内模型进行算法测试，验证了平面投影法在捕捉堆石体颗粒分布凹凸不平特征点云的优势。大型试验场地优化测试表明，采用球形标靶辅助配准优化与拼接优化后，体积测量相对误差基本控制在5%以内。最后，通过实际在建堆石坝工程的现场试验与应用，证实提出的基于三维激光扫描技术的堆石坝试坑体积快速计算与优化方法可实现堆石坝检测坑表面点云的高效准确提取，大大节省碾压施工过程中的检测时间，有望取代传统的灌水法计算试坑体积。

Abstract

Trial pit test is a standard method for evaluating rockfill compaction in dam construction. The advent of 3D laser scanning technology offers a rapid

accurate alternative to the traditional water filling method for measuring the pit’s volume. This study develops a new method that integrates data acquisition

registration

and fast volume calculation using 3D laser scanning. Tested against the standard model and a laboratory experiment

the method captures the irregular distribution of rockfill particles effectively; Optimizations in large-scale in-situ tests have achieved volume measurement errors roughly within 5%. Field applications in dam projects further validate the method's efficiency

significantly reducing inspection time and having the potential to replace traditional methods.

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