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基于粒子图像测速技术的滑坡-涌浪两相运动分析系统

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陈小婷, 黄波林, 王健, 张全, 冯万里. 2020. 基于粒子图像测速技术的滑坡-涌浪两相运动分析系统. 地质力学学报, 26(4): 492-499. doi: 10.12090/j.issn.1006-6616.2020.26.04.042
引用本文: 陈小婷, 黄波林, 王健, 张全, 冯万里. 2020. 基于粒子图像测速技术的滑坡-涌浪两相运动分析系统. 地质力学学报, 26(4): 492-499. doi: 10.12090/j.issn.1006-6616.2020.26.04.042
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CHEN Xiaoting, HUANG Bolin, WANG Jian, ZHANG Quan, FENG Wanli. 2020. Two-phase motion analysis system for landslide-induced impulse wave based on the particle image velocimetry. Journal of Geomechanics, 26(4): 492-499. doi: 10.12090/j.issn.1006-6616.2020.26.04.042
Citation: CHEN Xiaoting, HUANG Bolin, WANG Jian, ZHANG Quan, FENG Wanli. 2020. Two-phase motion analysis system for landslide-induced impulse wave based on the particle image velocimetry. Journal of Geomechanics, 26(4): 492-499. doi: 10.12090/j.issn.1006-6616.2020.26.04.042
shu

基于粒子图像测速技术的滑坡-涌浪两相运动分析系统

  • 防灾减灾湖北省重点实验室(三峡大学), 湖北 宜昌 443002

  • 基金项目:
    国家重点研发计划项目（2018YFC1504806）；三峡后续工作地质灾害防治项目（0001212019CC60001）
详细信息
    作者简介: 陈小婷(1979-), 女, 硕士, 高级工程师, 主要从事水库地质灾害及涌浪灾害方面的研究。E-mail:344582786@qq.com

  • 中图分类号: P642.22

Two-phase motion analysis system for landslide-induced impulse wave based on the particle image velocimetry

  • Key Laboratory of Disaster Prevention and Mitigation of Hubei Province, China Three Gorges University, Yichang 443002, Hubei, China

    摘要

  • 滑坡-涌浪灾害威胁沿河两岸居民生产生活安全和航道安全。当前尚缺乏同步提供流固两相运动矢量的相关物理试验分析系统，以深刻分析滑坡-涌浪产生机制。文章提出了基于流固两相识别的粒子图像测速（PIV）技术和试验实现方法。利用2560×1024像素的工业相机，该PIV技术可实现在3 m×1.5 m视窗下最小1.17 mm的空间分辨率和0.01 s内最小0.117 m/s的观测速度。同时，提出了与该系统方法有关的误差来源和克服相关问题的解决方法。利用相关硬件设施示范性构建了滑坡-涌浪两相运动观测平台，并编制了专门的解算软件。对三维柱体颗粒崩塌、二维柱体颗粒崩塌及其涌浪和水下崩塌-涌浪进行了展示性试验，取得了良好效果。该系统可以揭示广泛的岩土体及水体运动全过程，具有很好的应用前景；将为滑坡-涌浪及相关动力学领域研究提供强有力的研究工具。

    Landslide-induced impulse wave disasters threaten the safety of production and life of residents along both sides of the river and the safety of navigation channels. However, there is still a lack of relevant physical experimental analysis system to provide fluid-solid two-phase motion vector synchronously to deeply analyze the mechanism of impulse wave generated by landslide. In this paper, the particle image velocimetry (PIV) and experimental implementation method based on fluid-solid two-phase recognition are proposed. This PIV technique can achieve a minimum spatial resolution of 1.17 mm and a minimum observation speed of 0.117 m/s in 0.01 s with a 2560×1024-pixel industrial camera under a 3 m×1.5 m observation window. The error sources related to this system and the solutions to overcome the related problems are proposed. A two-phase motion observation platform for landslide and its impulse wave is constructed by related hardware facilities, and a special resolving software is compiled. The demonstration tests of three-dimensional granular pillar collapse, two-dimensional granular column collapse and its impulse wave and underwater collapse-induced impulse wave have been carried out, and good results have been achieved. This system can reveal the whole process of rock, soil and water movement, and has good application prospects. It will provide a powerful research tool for landslide-induced impulse wave and related dynamics research.

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  • 图 1  平面粒子图像测速的光学采集系统

    Figure 1. 

    下载: 全尺寸图片 幻灯片

    图 2  滑坡涌浪试验装置平台示意图

    Figure 2. 

    下载: 全尺寸图片 幻灯片

    图 3  三维柱状颗粒体试验装置

    Figure 3. 

    下载: 全尺寸图片 幻灯片

    图 4  柱体崩塌瞬时图像及其瞬时速度场

    Figure 4. 

    下载: 全尺寸图片 幻灯片

    图 5  二维柱状颗粒体试验装置侧向图

    Figure 5. 

    下载: 全尺寸图片 幻灯片

    图 6  不同时刻柱体崩塌颗粒瞬时运动场

    Figure 6. 

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    图 7  不同时刻柱体崩塌产生涌浪过程

    Figure 7. 

    下载: 全尺寸图片 幻灯片

    图 8  红色为颗粒运动速度，青色为水体运动速度

    Figure 8. 

    下载: 全尺寸图片 幻灯片
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出版历程
收稿日期:  2020-04-25
修回日期:  2020-06-30
刊出日期:  2020-08-25

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