Application of particle image velocimetry to model test of negative skin friction on pile
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Application of particle image velocimetry to model test of negative skin friction on pile
Vol. 34, Issue S1, (2013)
作者机构:
1. 河海大学 港口海岸与近海工程学院,南京,210098
2. 东南大学 土木工程学院,南京,210096
3. 中交公路规划设计院有限公司,北京,100010
作者简介:
基金信息:
DOI:
CLC:TU473
Online First:09 June 2014,
Published:2013
稿件说明:
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HUANG Ting, DAI Guo-liang, GONG Wei-ming, et al. Application of particle image velocimetry to model test of negative skin friction on pile[J]. 2013, 34(S1).
DOI:
HUANG Ting, DAI Guo-liang, GONG Wei-ming, et al. Application of particle image velocimetry to model test of negative skin friction on pile[J]. 2013, 34(S1).DOI:
Application of particle image velocimetry to model test of negative skin friction on pile
the pile-soil displacement is the key point concerned. As a mature flow test technique
the particle image velocimetry(PIV) is gradually used in the field of geotechnical tests. By applying PIV technology in the model test of negative skin friction on pile
some defects of traditional displacement measuring technique
such as cannot obtain displacement field
will be improved. Aiming at the characteristics of test
a testing box was designed which included steel plates and organic glass plate. The soil surface load was simulated by jack and load board. Settlement of each soil layer
settlement of pile and axial force were measured in the test; and the displacement field around the pile base was measured by PIV technology under various stages of heaped loads. The test results show that the settlement measured by PIV technology is consistent with the settlement measured by traditional technology. The results of PIV analysis can intuitively reflect the additional settlement caused by the negative skin friction on pile. In addition
influence scope of soil displacement caused by the settlement of pile is analyzed. The analysis results show that the vertical influence scope is about 1.75D (Disdiameter) and the horizontal influence scope is no more than 1 D. At last
a summary is made about the application of PIV technology to this model test