Qun Li

Dr. Qun Li

orcid

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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9 February 2019 in Arabian Journal of Geosciences
Verified
Journal Article
Closed access
PDF file
CHChang–Fu Huang
Chang–Fu Huang
QLQun Li
Qun Li
SWShun–Chuan Wu
Shun–Chuan Wu
YLYang Liu
Yang Liu
JLJian–Yu Li
Jian–Yu Li

6 November 2017 in Arabian Journal for Science and Engineering
Verified
Journal Article
Closed access
PDF file
CHChang-Fu Huang
Chang-Fu Huang
QLQun Li
Qun Li
SWShunchuan Wu
Shunchuan Wu
JLJian-Yu Li
Jian-Yu Li
XXXue-Liang Xu
Xue-Liang Xu

21 July 2018 in Geotechnical and Geological Engineering
Verified
Journal Article
Closed access
PDF file
CHChangfu Huang
Changfu Huang
QLQun Li
Qun Li
SWShunchuan Wu
Shunchuan Wu
YLYang Liu
Yang Liu

16 October 2020 in PLOS ONE
Verified
Journal Article
Open access
PDF file
CHChangfu Huang
Changfu Huang
QLQun Li
Qun Li
STShuguang Tian
Shuguang Tian
The residual deformation of a goaf is studied to improve the foundation stability assessment for metro lines passing through the subsidence area of steeply inclined extra-thick coal seams. The variable mining influence propagation angle is introduced to describe the special form of the rock movement. Based on the modified parameters in the traditional probability integral model, a subsidence prediction model is established. Then, based on the idea of an equivalent mining thickness, Kelvin model is introduced to analyze the creep characteristics of the old goaf, and the dynamic prediction function of the residual subsidence is constructed to realize the dynamic analysis of the residual deformation. Moreover, a case study is used to evaluate the predictive effectiveness of the prediction model, and the results are compared with the monitoring data and numerical simulation results. The results show that the values with a relative error between the predicted value and measured value are in the range of ±7%, indicating that the prediction model based on the mining influence propagation angle is feasible. Thus, the residual deformation prediction model based on the mining influence propagation angle is considered to be suitable for predicting the subsidence of engineering projects crossing a goaf.

14 December 2021 in Arabian Journal of Geosciences
Verified
Journal Article
Closed access
PDF file
ZLZhanjin Li
Zhanjin Li
LZLu Zhang
Lu Zhang
QLQun Li
Qun Li
HCHaojie Cheng
Haojie Cheng

22 February 2020 in Geotechnical and Geological Engineering
Verified
Journal Article
Closed access
PDF file
QLQun Li
Qun Li
ZLZhanjin Li
Zhanjin Li
XXXueliang Xu
Xueliang Xu