Qiang Xie

Dr. Qiang Xie

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

View All Publications
23 May 2020 in Bulletin of Engineering Geology and the Environment
Verified
Journal Article
Closed access
PDF file
DTDalang Tian
Dalang Tian
Qiang XieQiang Xie
Qiang Xie
XFXiang Fu
Xiang Fu
JZJianhua Zhang
Jianhua Zhang

10 September 2019 in Bulletin of Engineering Geology and the Environment
Verified
Journal Article
Closed access
PDF file
YBYuxin Ban
Yuxin Ban
XFXiang Fu
Xiang Fu
Qiang XieQiang Xie
Qiang Xie

5 January 2021 in Arabian Journal for Science and Engineering
Verified
Journal Article
Closed access
PDF file
Qiang XieQiang Xie
Qiang Xie
ZCZhilin Cao
Zhilin Cao
XSXiaokang Shi
Xiaokang Shi
XFXiang Fu
Xiang Fu
Yuxin BanYuxin Ban
Yuxin Ban
ZWZhihui Wu
Zhihui Wu

11 September 2023 in KSCE Journal of Civil Engineering
Verified
Journal Article
Open access
PDF file
Qiang XieQiang Xie
Qiang Xie
HGHao Gao
Hao Gao
Yuxin BanYuxin Ban
Yuxin Ban
XFXiang Fu
Xiang Fu
XLXiaowen Liang
Xiaowen Liang
JDJun Duan
Jun Duan
To figure out the influence of soft-hard layer thickness ratio on specimens’ mechanical properties evolution and microcracking mechanism, combined with digital image correlation technology and acoustic emission facility, uniaxial compression tests were conducted on soft-hard interbedded rock-like materials considering seven bedding dip angles and two soft-hard layer thickness ratios. The results are as follows: 1) The failure mode and failure pattern of layered rock masses are mainly determined by the bedding dip angle α and are less related to the soft-hard thickness ratio. With the increase of dip angle, the failure strength curve of the specimen is approximately U-shaped, and the soft-hard layer thickness ratio affects the U-shaped. The decrease in soft-hard layer thickness ratio will reduce the uniaxial compressive strength of specimens with low dip angles (α≦30°), cause differences in the evolution path of local strain fields of layered rock masses and reduce the horizontal displacement of the main crack. 2) The increase of the proportion of soft layer in the soft-hard layer thickness ratio will reduce the proportion of tensile cracks in the tensile failure specimens and shear cracks in the shear failure specimens, complicating the process of cracks of the layer rock mass. 3) Increasing the proportion of soft layers in the soft-hard layers thickness ratio promotes the generation of secondary cracks in layered rock masses and further reduces the integrity of specimens. Finally, through the findings in this paper, it can provide a reference for analyzing the crack propagation behavior of layered rock.

10 January 2021 in Rock Mechanics and Rock Engineering
Verified
Journal Article
Closed access
PDF file
XFXiang Fu
Xiang Fu
Yuxin BanYuxin Ban
Yuxin Ban
Qiang XieQiang Xie
Qiang Xie
RARini Asnida Abdullah
Rini Asnida Abdullah
JDJun Duan
Jun Duan

18 March 2023 in Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Verified
Journal Article
Open access
PDF file
ZCZhilin Cao
Zhilin Cao
Qiang XieQiang Xie
Qiang Xie
XXXianyu Xu
Xianyu Xu
WSWeichen Sun
Weichen Sun
AFAlessio Fumagalli
Alessio Fumagalli
XFXiang Fu
Xiang Fu
A seepage testing system was designed and a series of seepage experiments on broken rock was conducted using different original porosity conditions and clay contents. The mass-loss process of the broken rock and the change in water flow velocity were investigated. After the mass-loss test, the non-Darcy seepage characteristics of the broken rock were tested through a step-by-step pressure-reduced seepage test. The experimental results show that the mass-loss and water velocity evolution during the water inrush could be divided into four stages: acceleration, stable with slight fluctuations, reacceleration, and stable. The lost-mass and change in water velocity were positively correlated with the clay contents and negatively correlated with the original porosity. By introducing the evolution equation of the Kozeny-Carman equation and the liquid limit index which characterises the effective particle size, the prediction model of the permeability coefficient was built. Six prediction models of the non-Darcy coefficient were verified against the testing results. The prediction model of the critical flow velocity from a Darcy flow to a non-Darcy flow using the Forchheimer number was also established. The results could provide an important reference for understanding water inrush mechanisms, adopting effective control measures for water inrush events, and calculating the water influx of tunnels.