基于改进PIV技术的库区滑坡涌浪试验研究
作者:
作者单位:

(1.浙江水利水电学院南浔创新研究院,浙江 杭州310018;2.淮安市水利勘测设计研究院有限公司,江苏 淮安223005 )

作者简介:

孟珍珠 (1990—),女,讲师,博士,主要从事滑坡涌浪研究。E-mail:mengzhzh@zjweu.edu.cn

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中图分类号:

TV698.1

基金项目:

国家自然科学基金项目(51909288);中国博士后科学基金项目(2021M693679);南浔青年学者项目(RC2023021192)


Experimental study on landslide generated waves based on improved PIV technique
Author:
Affiliation:

(1.Nanxun Innovation Institute, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China;2.Huai’an Water Conservancy Survey and Design Research Institute Co., Ltd., Huai’an 223005, China)

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    摘要:

    针对滑坡涌浪试验中内部运动场数据缺乏的问题,采用改进的粒子图像测速技术搭建滑坡涌浪试验平台,选取理想黏塑性材料卡波普作为滑坡材料,通过示踪粒子荧光染色技术对滑坡体和水体两相进行区分,实现了两相内部流态的同步观测,并解析出相应的速度场矢量图,进而基于速度场数据计算了入水滑坡体质量和平均速度的变化曲线,并分析了两相耦合过程中的动量变化过程线。研究结果表明滑坡和水体两相的动量变化趋势与滑坡体入水动量具有较高的相关性,可为两相耦合的动量转换机理理论研究提供更加复杂、多元的数据支撑。

    Abstract:

    Aiming at the problem of data lacking for internal dynamics in landslide surge tests, an improved particle image velocimetry technology was used to build a landslide surge test platform.A viscoplastic material called Carbopol was chosen as the landslide material. Using fluorescence seeding particles, the internal dynamics of the submerged sliding mass and body of water was obtained respectively, and then the velocity field of the two phases was estimated. Using the velocity field data, the evolution of the mass and mean velocity of the submerged sliding mass, as well as the momentum variation of the sliding mass and body of water were calculated and analyzed. The results show that there is a high correlation between the momentum change trend of landslide and water body and the momentum of landslide body entering water, providing more complex and multivariate data support for the theoretical research of momentum transformation mechanism of two-phase coupling.

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引用本文

孟珍珠,胡林生,沈优,等.基于改进PIV技术的库区滑坡涌浪试验研究[J].水利水电科技进展,2024,44(2):30-36.(MENG Zhenzhu, HU Linsheng, SHEN You, et al. Experimental study on landslide generated waves based on improved PIV technique[J]. Advances in Science and Technology of Water Resources,2024,44(2):30-36.(in Chinese))

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  • 收稿日期:2023-04-15
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  • 在线发布日期: 2024-03-17
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