Bing Bai

Prof. Bing Bai

Hebei Research Institute of Construction and Geotechnical Investigation Co. Ltd.
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 January 2025 in International Journal for Numerical and Analytical Methods in Geomechanics
Verified
Journal Article
Closed access
Bing BaiBing Bai
Bing Bai
HWHaiyan Wu
Haiyan Wu
QNQingke Nie
Qingke Nie
JLJingjing Liu
Jingjing Liu
XJXiangxin Jia
Xiangxin Jia

16 December 2022 in Ocean Engineering
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Journal Article
Closed access
Bing BaiBing Bai
Bing Bai
RZRui Zhou
Rui Zhou
GYGuangchang Yang
Guangchang Yang
WZWeilie Zou
Weilie Zou
WYWei Yuan
Wei Yuan

17 June 2022 in Frontiers in Earth Science
Verified
Journal Article
Open access
Bing BaiBing Bai
Bing Bai
YWYan Wang
Yan Wang
DRDengyu Rao
Dengyu Rao
FBFan Bai
Fan Bai
The smoothed particle hydrodynamics (SPH) method was employed to simulate the heat transfer process in porous media at the pore scale. The effective thermal conductivity of a porous medium can be predicted through a simulation experiment of SPH. The accuracy of the SPH simulation experiment was verified by comparing the predicted values with reference values for ideal homogeneous media and multiphase layered media. 3D simulation experiments were implemented in granular media generated by the PFC method. Based on the SPH framework, a concise method was proposed to produce unsaturated media by simulating the wetting process in dry media. This approach approximates the formation of liquid bridges and water films on granules. Through simulation experiments, the empirical formula of the variation in thermal conductivity with the degree of saturation was tested. The results showed that the reciprocal of the normalized thermal conductivity and the reciprocal of the saturation are linearly related, which is in line with the empirical formula proposed by Cote and Konrad.

19 October 2016 in Hydrological Processes
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Journal Article
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Bing BaiBing Bai
Bing Bai
FLFei Long
Fei Long
DRDengyu Rao
Dengyu Rao
TXTao Xu
Tao Xu

9 February 2017 in Transport in Porous Media
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Journal Article
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Bing BaiBing Bai
Bing Bai
JWJiaqing Wang
Jiaqing Wang
ZZZhenqian Zhai
Zhenqian Zhai
TXTao Xu
Tao Xu

1 April 2024 in AIP Advances
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Journal Article
Open access
PDF file
Bing BaiBing Bai
Bing Bai
JCJing Chen
Jing Chen
BZBixia Zhang
Bixia Zhang
HWHao Wang
Hao Wang
The particle flow code method based on the discrete element method was used to establish the seepage migration model of fine particles [fine particles (FPs), i.e., suspended particles] in a porous medium. A series of numerical simulations were carried out by changing the particle size, seepage velocity, particle injection number, and wide particle size gradation. The research showed that large FPs play a major role in blocking porous medium channels when the injected FPs have a wide size gradation. Due to the blocking effect, small FPs that would not otherwise have deposited also deposit. Moreover, by increasing the number of large FPs in the mixed particles, the total number of particles deposited and the number of smaller FPs deposited will also increase. The distribution of FPs in porous mediums can be divided into three types: surface deposition, internal deposition, and non-deposition. When the seepage velocity increases and reaches a seepage threshold, which is the critical seepage velocity, the deposited FPs will once again be in a suspended state and undergo migration. On the contrary, the FPs will continue to maintain their sedimentary state, and the critical seepage velocity will also increase correspondingly with increasing particle size.