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.
作者
陈小婷
黄波林
王健
张全
冯万里
CHEN Xiaoting;HUANG Bolin;WANG Jian;ZHANG Quan;FENG Wanli(Key Laboratory of Disaster Prevention and Mitigation of Hubei Province,China Three Gorges University,Yichang 443002,Hubei,China)
出处
《地质力学学报》
CSCD
2020年第4期492-499,共8页
Journal of Geomechanics
基金
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)。
关键词
滑坡-涌浪
粒子图像测速技术
流固两相识别
柱体崩塌
运动矢量场
landslide-induced impulse wave
particle image velocimetry
fluid-solid two-phase recognition
column collapse
motion vector field
