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基于图像识别的碎屑流颗粒分布特征及碎屑流与房屋相互作用探究

彭双麒 柯灵 郑体 徐继忠

彭双麒, 柯灵, 郑体, 徐继忠. 基于图像识别的碎屑流颗粒分布特征及碎屑流与房屋相互作用探究[J]. 地质科技通报, 2021, 40(6): 226-235. doi: 10.19509/j.cnki.dzkq.2021.0622
引用本文: 彭双麒, 柯灵, 郑体, 徐继忠. 基于图像识别的碎屑流颗粒分布特征及碎屑流与房屋相互作用探究[J]. 地质科技通报, 2021, 40(6): 226-235. doi: 10.19509/j.cnki.dzkq.2021.0622
Peng Shuangqi, Ke Ling, Zheng Ti, Xu Jizhong. Particle distribution characteristics of rock avalanche and the interaction between rock avalanche and houses based on image recognition[J]. Bulletin of Geological Science and Technology, 2021, 40(6): 226-235. doi: 10.19509/j.cnki.dzkq.2021.0622
Citation: Peng Shuangqi, Ke Ling, Zheng Ti, Xu Jizhong. Particle distribution characteristics of rock avalanche and the interaction between rock avalanche and houses based on image recognition[J]. Bulletin of Geological Science and Technology, 2021, 40(6): 226-235. doi: 10.19509/j.cnki.dzkq.2021.0622

基于图像识别的碎屑流颗粒分布特征及碎屑流与房屋相互作用探究

doi: 10.19509/j.cnki.dzkq.2021.0622
详细信息
    作者简介:

    彭双麒(1995-), 男, 助理工程师, 主要从事岩土工程与地基基础相关研究工作。E-mail: 2694253535@qq.com

  • 中图分类号: X43

Particle distribution characteristics of rock avalanche and the interaction between rock avalanche and houses based on image recognition

  • 摘要: 由于崩滑-碎屑流具有高隐蔽性、发生时间短暂以及较低的可预见性,较难直观观测崩滑-碎屑流发生的过程。为了对碎屑动力特性及对房屋的破坏情况进行研究,拟对碎屑流堆积体及其粒径分布进行分析。以普洒村崩塌-碎屑流为例,使用PCAS系统对碎屑流堆积体图像进行颗粒识别、统计,并通过量纲分析法,分析堆积体颗粒与房屋破坏之间的定量联系。分析结果发现:与现场筛分统计相比,图像识别堆积体颗粒的方法得到的数据更全面、详细,并且能节省大量的人力、物力资源。另外,对房屋与碎屑流之间的相互作用进行了探究,发现房屋对碎屑流颗粒有"拦粗排细"的作用。同时,利用图像识别得到的颗粒粒径数据对推导出房屋破坏的判别公式,判别效果较好,能够在地质灾害防治、预测领域发挥一定作用。

     

  • 图 1  普洒村崩塌堆积区全貌

    Figure 1.  Whole picture of the collapse congeries of Pusa Village

    图 2  普洒村崩塌堆积体工程地质剖面图

    T1y.下三叠统夜郎组;P2c-d.上二叠统长兴组-大隆组;P2l.上二叠统龙潭组

    Figure 2.  Engineering geological section of collapse congerie in Pusa Village

    图 3  PCAS系统图像识别堆积体粒径过程及结果

    Figure 3.  Image recognition process and results of particle size of PCAS system

    图 4  崩塌堆积分区示意图

    An/Bn/Cn. 崩塌堆积分区代号

    Figure 4.  Partition diagram of the collapse congeries body

    图 5  堆积体纵向区域粒径数统计累计曲线

    Figure 5.  Cumulative curve of particle size statistics in longitudinal area of congeries

    图 6  垂直于主滑方向区域颗粒粒径累计曲线

    Figure 6.  Aggregate curve of particle size perpendicular to the main sliding direction

    图 7  各区域不同粒径范围所占比例

    Figure 7.  Proportion of different particle size grades in each area

    图 8  房屋平面位置分布图

    Figure 8.  Location of the house

    图 9  垂直于主滑方向各区域不同粒径范围颗粒所占比例

    堆积后部区对应B1、A2、C1区;堆积中部区对应B2、A5、C2区;堆积前缘区对应B3、A8、C3区

    Figure 9.  Proportion of different particle size grades in each area perpendicular to the main sliding direction

    图 10  普洒村崩塌碎屑流房屋破坏的判据图

    Figure 10.  Criterion of the destruction of houses in the rock avalanche in Pusa Village

    表  1  破坏房屋距崩塌源中部的水平距离以及距崩塌物源高度

    Table  1.   Horizontal distance of the damaged house from the middle of the collapse source and the height of the damaged house from collapse source

    房屋编号 运动距离L/m 高差ΔH/m 房屋编号 运动距离L/m 高差ΔH/m 房屋编号 运动距离L/m 高差ΔH/m
    1 613.16 249 16 566.45 242 31 624.43 260
    2 645.78 249 17 547.55 240 32 718.49 272
    3 678.98 254 18 535.23 241 33 703.67 271
    4 682.24 254 19 522.37 238 34 685.68 270
    5 658.27 254 20 587.46 249 35 694.40 271
    6 639.84 253 21 581.23 249 36 681.21 270
    7 641.44 254 22 598.17 251 37 659.85 268
    8 708.25 257 23 531.15 239 38 769.52 278
    9 558.77 243 24 603.83 250 39 749.19 276
    10 574.57 245 25 537.39 246 40 700.61 271
    11 592.31 247 26 530.11 246 41 530.47 240
    12 582.02 246 27 517.92 246 42 500.80 237
    13 559.99 242 28 517.11 244 43 523.11 238
    14 602.69 251 29 599.63 256 44 663.77 268
    15 578.72 242 30 619.62 258 45 459.26 241
    下载: 导出CSV

    表  2  普洒村崩塌冲毁房屋判别结果

    Table  2.   Discriminating results of the houses damaged by collapse in Pusa Village

    房屋编号 判别结果F 房屋编号 判别结果F 房屋编号 判别结果F 房屋编号 判别结果F 房屋编号 判别结果F
    1 1.27 10 1.42 19 1.67 28 1.75 37 1.18
    2 1.14 11 1.35 20 1.38 29 1.36 38 0.9
    3 1.05 12 1.39 21 1.41 30 1.29 39 0.94
    4 1.04 13 1.48 22 1.34 31 1.28 40 1.06
    5 1.12 14 1.32 23 1.62 32 1.01 41 1.63
    6 1.18 15 1.38 24 1.31 33 1.05 42 1.81
    7 1.18 16 1.44 25 1.63 34 1.1 43 1.66
    8 0.98 17 1.53 26 1.68 35 1.08 44 1.16
    9 1.49 18 1.61 27 1.75 36 1.11 45 2.19
    下载: 导出CSV
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