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郭万里, 蔡正银, 简富献. 滑坡堰塞体材料空间变异性研究的试验方法[J]. 岩土工程学报. DOI: 10.11779/CJGE20240742
引用本文: 郭万里, 蔡正银, 简富献. 滑坡堰塞体材料空间变异性研究的试验方法[J]. 岩土工程学报. DOI: 10.11779/CJGE20240742
Test method for studying the materials spatial variability of landslide dam[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20240742
Citation: Test method for studying the materials spatial variability of landslide dam[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20240742

滑坡堰塞体材料空间变异性研究的试验方法

Test method for studying the materials spatial variability of landslide dam

  • 摘要: 滑坡堰塞体组成物质杂乱,颗粒分选显著,空间结构复杂,具有典型的空间变异特征,易在水流冲刷下形成溃坝洪水灾害。如何定量研究滑坡堰塞体孔隙比和级配等参量的空间分布特征是亟待解决的基础问题。在物理模型试验中引入了三维运动结构逆向重构技术(SfM),融合分块取样法,提出了滑坡堰塞体有序离散分块设计、图像采集和材料空间变异特征场量化分析等成套试验方法。基于该套方法开展了试验验证与应用,结果初步表明:滑坡堰塞体材料的颗粒级配与孔隙比在三维空间均存在显著的变异性;所提出的试验方法赋予孔隙比与级配组成的空间位置信息属性,极大程度地解决了滑坡堰塞体材料空间分布特征缺乏数据支撑的难题,为量化宽级配堰塞体堆积形态和空间变异性奠定了数据基础和方法途径。

     

    Abstract: Landslide dam has typical spatial variation characteristics that the composition is disordered, the particle sorting is significant, and the spatial structure is complex, which is easy to form dam-break flood disaster under the erosion of water flow. How to quantitatively study the spatial distribution characteristics of parameters such as void ratio and gradation of landslide dam is a fundamental problem to be solved urgently. In the physical model test, Structure-from-Motion (SfM) of the three-dimensional reverse reconstruction technology is introduced, and the discrete block sampling method is integrated simultaneously. A complete methodology that includes orderly discrete block design, image acquisition and quantitative analysis of material spatial variation characteristic field is proposed for landslide dam. Subsequently, experimental validation and application are carried out based on this methodology. The test results show that both particle size distribution and void ratio demonstrate a significant variability under the condition of three-dimensional space for landslide dam materials. The proposed methodology endows the spatial location information attribute composed of void ratio and gradation, which greatly solves the problem of lack of data support for the spatial distribution characteristics of landslide barrier materials, and lays a data foundation and method approach for quantifying the accumulation form and spatial variability of wide-graded barrier.

     

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