Transparent Sand Experimental Method for Geotechnical Physical Modeling Using Digital Imaging of Particle Image Velocimetry

被引:1
|
作者
Chang-Guang Qi
Qiong Zhang
Dian-Jun Zuo
Geng Chen
机构
[1] Ningbo University,Faculty of Architectural, Civil Engineering and Environment
[2] Ningbo Polytechnic,Geotechnical Research Institute
[3] Tianjin Research Institute for Water Transport Engineering,undefined
[4] M.O.T.,undefined
[5] Hohai University,undefined
关键词
Transparent sand; Physical modeling; Particle image velocimetry (PIV); Soil deformation; Shallow strain path method (SSPM);
D O I
暂无
中图分类号
学科分类号
摘要
By means of the technology of particle image velocimetry (PIV), the physical modelings, using transparent sand and natural sand, were set up to simulate the shallow foundation, respectively. The transparent soil is composed of fused quartz and correspondingly refractive index-matched flammable liquid. The flammable liquid is blended by two white mineral oils, Krystol40 and Puretol7. Transparent sand model was projected by a laser light sheet; meanwhile, the digital images of soil deformations caused by shallow foundation were captured. The PIV was employed to obtain the generated displacement fields from the digital images. The experimental results indicate that the deformation trends in transparent sand model are consistent with that in natural Ottawa sand model; however, the influential region is expanded by about 1.5 times, and the zone and magnitude of down-drag subsidence are extremely enlarged in transparent soil model, compared with those in Ottawa sand model. The verification of test results shows that the shallow strain path method is not suitable for the small-scale transparent sand and natural sand models.
引用
收藏
页码:2013 / 2020
页数:7
相关论文
共 50 条
  • [21] Experimental Validation of Enhanced Magnetic Resonance Imaging (EMRI) Using Particle Image Velocimetry (PIV)
    Giacomo Annio
    Ryo Torii
    Andrea Ducci
    Vivek Muthurangu
    Victor Tsang
    Gaetano Burriesci
    Annals of Biomedical Engineering, 2021, 49 : 3481 - 3493
  • [22] Physical and mathematical modelling of tundish flows using digital particle image velocimetry and CFD-methods
    Odenthal, HJ
    Pfeifer, H
    Klaas, M
    STEEL RESEARCH, 2000, 71 (6-7): : 210 - 219
  • [23] A three-dimensional strain measurement method in elastic transparent materials using tomographic particle image velocimetry
    Takahashi, Azuma
    Suzuki, Sara
    Aoyama, Yusuke
    Umezu, Mitsuo
    Iwasaki, Kiyotaka
    PLOS ONE, 2017, 12 (09):
  • [24] Experimental research on resist filling behavior in microimprint lithography by using defocusing digital particle image velocimetry
    Du Jun
    Wei Zhengying
    Li Shize
    Tang Yiping
    Microsystem Technologies, 2013, 19 : 1229 - 1238
  • [25] Experimental research on resist filling behavior in microimprint lithography by using defocusing digital particle image velocimetry
    Du Jun
    Wei Zhengying
    Li Shize
    Tang Yiping
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2013, 19 (08): : 1229 - 1238
  • [26] Physical Model Tests Evaluating Transparent Viscous Debris Flow Impact on Bridge Piers Using Particle Image Velocimetry
    Zhou H.
    Zou Z.-L.
    Liu H.-L.
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2024, 37 (05): : 175 - 187
  • [27] Particle-image velocimetry measurement errors when imaging through a transparent engine cylinder
    Reuss, DL
    Megerle, M
    Sick, V
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2002, 13 (07) : 1029 - 1035
  • [28] Wind tunnel experiment of sand velocity in nature aeolian sand transport using particle image velocimetry
    Tong, Ding
    Huang, Ning
    Gongcheng Lixue/Engineering Mechanics, 2011, 28 (07): : 229 - 237
  • [29] An economical method to measure granular flow in a hopper using a commercial digital camcorder and particle image velocimetry
    Cha, Byoungjun
    Park, Junyoung
    GEOSYSTEM ENGINEERING, 2016, 19 (03) : 101 - 107
  • [30] Advanced blood flow assessment in Zebrafish via experimental digital particle image velocimetry and computational fluid dynamics modeling
    Salman, Huseyin Enes
    Yalcin, Huseyin Cagatay
    MICRON, 2020, 130