Xinglong Feng

Xinglong Feng


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

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30 December 2010 in Science China Technological Sciences
Verified
Journal Article
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XFXinglong Feng
Xinglong Feng
DLDe Li
De Li
Liguan WangLiguan Wang
Liguan Wang
YJYongBin Jing
YongBin Jing
XXXueMei Xun
XueMei Xun
QZQingTian Zeng
QingTian Zeng

2 April 2023 in Mathematics
Verified
Journal Article
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Ming LiMing Li
Ming Li
NZNianhui Zhang
Nianhui Zhang
JWJunjian Wang
Junjian Wang
XFXinglong Feng
Xinglong Feng
Single-heading tunnels in underground metal mines have high air pollutant concentrations, chaotic airflow, and low pollutant diffusion efficiency in high-altitude areas, resulting in poor air exchange. Based on Pulang copper mine (China), a computational fluid dynamics case using the steady Reynolds-averaged Navier–Stokes equations with a k-omega turbulence model was developed to study certain factors influencing the air exchange of single-heading tunnels, and was combined with an orthogonal experimental method to simulate the mean age of air (MAA) under different working conditions. This study revealed the ranking of the importance of some factors on the air exchange via sensitivity analysis. The MAA generally increases with the increasing distance between the duct and the heading face and the increasing diameter of the oxygen supply duct. This study’s optimal distance and diameter can reduce MAA by 14.7% and 9.9%, respectively. Placing the oxygen supply duct and the duct on the same side and using an 800/1000 mm inner diameter duct can effectively reduce the MAA by 6.7% and 4.2%, respectively, in this study. The findings of this study can optimize air exchange in the Pulang copper mine, and can also be referenced for the optimization of air exchange in high-altitude highway or railway tunnels being excavated.

7 October 2024 in Minerals
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Journal Article
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WLWeijia Ling
Weijia Ling
ZZZhu Zhonghua
Zhu Zhonghua
XFXinglong Feng
Xinglong Feng
Liguan WangLiguan Wang
Liguan Wang
WWWeixiong Wang
Weixiong Wang
Jiadong QiuJiadong Qiu
Jiadong Qiu
Surface subsidence resulting from block caving mining causes considerable environmental and economic harm in mining areas, highlighting the critical need for accurate predictions of surface subsidence. Given the unique features of the block caving technique and the resemblance between the released ore pillars and the mining processes, this paper developed a lightweight model to forecast surface settlement utilizing the probability integration approach to address the issue of predicting surface settlement in metallic mines. This study focuses on the Pulang Copper Mine, situated in the northeast of Shangri-La County within the Yunnan Province, as a case example. This mine employs the block caving method, which results in substantial surface subsidence. A visual mining simulation program is designed to combine the ore mining plan with the prediction model, manage the ore output of each mining point in batches, treat the ore pillars released in the planning cycle as strip work, and simulate and calculate the surface area above the ore pillars settlement value. The calculated values of surface subsidence induced by ore drawing are then interpreted as the downward displacement of the surface subsidence beneath the strip workings. Furthermore, to verify the reliability of the model, three-dimensional laser point cloud data of the Pulang Copper Mine in recent years were collected, and the differences between the predicted surface and the measured surface were calculated and analyzed.

29 February 2024 in Water
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Journal Article
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ZLZeng Liu
Zeng Liu
Wei SunWei Sun
Wei Sun
XFXinglong Feng
Xinglong Feng
Juanhong LiuJuanhong Liu
Juanhong Liu
CCChen Chong
Chen Chong
KFKai Fan
Kai Fan
In order to effectively reduce the risk of underground debris flow, surface moraine is solidified and modified by using grouting technology to realize the change in fine-grained moraine from “powder” to “block” to change the source conditions of underground debris flow and to reduce the risk of moraine from the root. In this paper, the effects of grouting pressure, porosity, and pore diameter on the spillability of moraine are investigated experimentally. The results show that the grouting depth increases linearly with increasing sample porosity. For the same sample density, the grouting pressure is proportional to the grouting depth. As the pore diameter of the sample increases, the longitudinal grouting depth of the sample increases, but the transverse diffusion distance decreases. The chemical grout in the moraine is mainly split-infiltration grouting mode. The present research results can provide effective support for the prevention and control of underground debris flow in Pulang Copper Mine.

14 May 2026 in Polish Journal of Environmental Studies
Verified
Journal Article
Open access
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XFXinglong Feng
Xinglong Feng
XSXining Sun
Xining Sun
LLLiang Li
Liang Li
ZFZhongwei Fu
Zhongwei Fu
MHMingchuan Hu
Mingchuan Hu
GLGuangyin Lu
Guangyin Lu
Ground subsidence and surface collapse induced by underground mining have long been central concerns in rock mechanics and mining engineering. Such failures disrupt stratigraphic integrity and pose severe threats to local ecosystems and the lives and property of mine personnel. This study, focusing on the Pulang Copper Mine in Yunnan Province, employs a three-dimensional numerical modelling approach to investigate surface deformation resulting from block-caving operations. A high-resolution 3D geological model was constructed to elucidate the mechanisms driving ground movement, particularly emphasising the collapse evolution above the southern mining district following extraction in the initial caving panel. Simulation results indicate that continued mining in the district’s south progressively enlarges the overlying subsidence basin. Comparison of simulated displacements and collapse extents with field measurements confirms the reliability of the calibrated model. Based on this, we forecast potential surface collapse zones associated with future mining schedules, providing quantitative guidance for mine safety management and environmental protection.