Xin Chen

Dr. Xin Chen

School of Resources and Safety Engineering, Central South University, Changsha 410083, China
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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1 April 2019 in Journal of Environmental Management
Verified
Journal Article
Closed access
Xin ChenXin Chen
Xin Chen
XSXiuzhi Shi
Xiuzhi Shi
JZJian Zhou
Jian Zhou
XDXianghong Du
Xianghong Du
Qiusong ChenQiusong Chen
Qiusong Chen
Xianyang QiuXianyang Qiu
Xianyang Qiu

19 February 2020 in Applied Sciences
Verified
Journal Article
Open access
PDF file
ZYZHI YU
ZHI YU
XSXIUZHI SHI
XIUZHI SHI
Jian ZhouJian Zhou
Jian Zhou
Xin ChenXin Chen
Xin Chen
Xianyang QiuXianyang Qiu
Xianyang Qiu
Most mines choose the drilling and blasting method which has the characteristics of being a cheap and efficient method to fragment rock mass, but blast-induced ground vibration damages the surrounding rock mass and structure and is a drawback. To predict, analyze and control the blast-induced ground vibration, the random forest (RF) model, Harris hawks optimization (HHO) algorithm and Monte Carlo simulation approach were utilized. A database consisting of 137 datasets was collected at different locations around the Tonglvshan open-cast mine, China. Seven variables were selected and collected as the input variables, and peak particle velocity was chosen as the output variable. At first, an RF model and a hybrid model, namely a HHO-RF model, were developed, and the prediction results checked by 3 performance indices to show that the proposed HHO-RF model can provide higher prediction performance. Then blast-induced ground vibration was simulated by using the Monte Carlo simulation approach and the developed HHO-RF model. After analyzing, the mean peak particle velocity value was 0.98 cm/s, and the peak particle velocity value did not exceed 1.95 cm/s with a probability of 90%. The research results of this study provided a simple, accurate method and basis for predicting, evaluating blast-induced ground vibration and optimizing the blast design before blast operation.

21 November 2019 in Natural Resources Research
Verified
Journal Article
Closed access
PDF file
ZYZHI YU
ZHI YU
XSXiuzhi Shi
Xiuzhi Shi
Jian ZhouJian Zhou
Jian Zhou
Xin ChenXin Chen
Xin Chen
XMXiaohu Miao
Xiaohu Miao
TITimo Ipangelwa
Timo Ipangelwa

1 June 2020 in Construction and Building Materials
Verified
Journal Article
Closed access
Xin ChenXin Chen
Xin Chen
XSXiuzhi Shi
Xiuzhi Shi
Jian ZhouJian Zhou
Jian Zhou
ZYZhi Yu
Zhi Yu
PHPeisheng Huang
Peisheng Huang

1 January 2021 in Advances in Civil Engineering
Verified
Journal Article
Open access
PDF file
JZjunhui zhang
junhui zhang
XSXiuzhi Shi
Xiuzhi Shi
Xin ChenXin Chen
Xin Chen
XHXiaofeng Huo
Xiaofeng Huo
ZYZHI YU
ZHI YU
Based on recent literary sources, this survey discusses the effects of main factors influencing the microbial‐induced calcium carbonate precipitation (MICP), including the bacterial species, bacterial concentration, temperature, and pH value. While the MICP technology has been widely adopted to improve rock and soil characteristics, it has excellent development prospects in many other fields. The breakthrough solutions in the MICP technology are improving geotechnical and foundation sand properties, repairing cement‐based materials, using mineralized film mulching to protect cultural relics, enhancing properties of tailings, desert control, and heavy metal environmental restoration, etc., are discussed. The experimental findings prove that MICP can improve the strength, stiffness, liquefaction resistance, erosion resistance, and permeability of geotechnical materials and maintain the good permeability and permeability of the soil and improve the growth environment of plants. It is an environment‐friendly bioengineering technology. Because microbial mineralization involves a series of biochemical and ionic chemical reactions, there are many reaction steps in the solidification process and the solidification effect of MICP is restricted and affected by many factors. The comprehensive analysis and optimization strategy on MICP industrial implementation should account for micro‐ and macro‐scale effects: the type of bacteria, the concentration of bacteria and cementation solutions, ambient temperature, pH value, and other factors directly affect the crystallization type, morphology, and size of calcium carbonate from the microscopic standpoint, while the macro‐scale factors control the rock and soil mineralization. The limitations and prospects of the MICP technology are outlined.