Guichen Li

Dr. Guichen Li

china university of mining and technology
orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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10 January 2019 in International Journal for Numerical and Analytical Methods in Geomechanics
Verified
Journal Article
Closed access
PDF file
Yuantian SunYuantian Sun
Yuantian Sun
Junfei ZhangJunfei Zhang
Junfei Zhang
Guichen LiGuichen Li
Guichen Li
YWYuhang Wang
Yuhang Wang
JSJunbo Sun
Junbo Sun
CJChao Jiang
Chao Jiang

1 March 2019 in Engineering Geology
Verified
Journal Article
Closed access
Yuantian SunYuantian Sun
Yuantian Sun
Junfei ZhangJunfei Zhang
Junfei Zhang
Guichen LiGuichen Li
Guichen Li
GMGuowei Ma
Guowei Ma
YHYimiao Huang
Yimiao Huang
BRETT NENERBRETT NENER
BRETT NENER

1 January 2019 in Advances in Civil Engineering
Verified
Journal Article
Open access
PDF file
Yuantian SunYuantian Sun
Yuantian Sun
Guichen LiGuichen Li
Guichen Li
Junfei ZhangJunfei Zhang
Junfei Zhang
Deyu QianDeyu Qian
Deyu Qian
Rubberized concrete (RC) has attracted more attention these years as it is an economical and environmental‐friendly construction material. Normally, the uniaxial compressive strength (UCS) of RC needs to be evaluated before application. In this study, an evolutionary random forest model (BRF) combining random forest (RF) and beetle antennae search (BAS) algorithms was proposed, which can be used for establishing the relationship between UCS of RC and its key variables. A total number of 138 cases were collected from the literature to develop and validate the BRF model. The results showed that the BAS can tune the RF effectively, and therefore, the hyperparameters of RF were obtained. The proposed BRF model can accurately predict the UCS of RC with a high correlation coefficient (0.96). Furthermore, the variable importance was determined, and the results showed that the age of RC is the most significant variable, followed by water‐cement ratio, fine rubber aggregate, coarse rubber aggregate, and coarse aggregate. This study provides a new method to access the strength of RC and can efficiently guide the design of RC in practice.

1 September 2021 in International Journal of Mining Science and Technology
Verified
Journal Article
Open access
Guichen LiGuichen Li
Guichen Li
YSYuantian Sun
Yuantian Sun
CQChongchong Qi
Chongchong Qi

14 February 2022 in Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Verified
Journal Article
Closed access
PDF file
YSYuantian Sun
Yuantian Sun
RBRuiyang Bi
Ruiyang Bi
JSJunbo Sun
Junbo Sun
JZJunfei Zhang
Junfei Zhang
RTReza Taherdangkoo
Reza Taherdangkoo
Guichen LiGuichen Li
Guichen Li

24 October 2019 in Energy Science & Engineering
Verified
Journal Article
Open access
PDF file
Yuantian SunYuantian Sun
Yuantian Sun
Guichen LiGuichen Li
Guichen Li
Junfei ZhangJunfei Zhang
Junfei Zhang
Deyu QianDeyu Qian
Deyu Qian
Roadway stability in extremely soft coal mass is a typical challenge in deep underground mines, as the most widely adopted support structure such as rock bolting, compound support system normally fails. This paper proposed a novel prereinforcement method for coal roadway, that is, jet grouting (JG) technique, to improve the quality of surrounding soft coal mass and form a stable support structure namely jet grouted coalcrete. The field and laboratory tests were conducted for evaluating the applicability of JG and the mechanical parameters of coalcrete. A numerical model was verified by comparing the calculated results with field measurements. According to the confirmed model, three typical JG support schemes were performed to assess the roadway stability after JG. The results showed that the proposed JG schemes can reduce the deformation and failure zone of the roadway and optimize the stress states around the roadway. The mechanism related to these advantages was investigated. This study provides a promising idea for supporting soft coal roadway in deep underground coal mines, which can promote the JG application in the field.