Zhenlei Li

ORCID: 0000-0003-0006-0639
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About
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Research Areas
  • Rock Mechanics and Modeling
  • Geophysical Methods and Applications
  • Earthquake Detection and Analysis
  • Landslides and related hazards
  • Metallurgy and Material Forming
  • earthquake and tectonic studies
  • Geotechnical and Geomechanical Engineering
  • Geoscience and Mining Technology
  • Geomechanics and Mining Engineering
  • Seismic Waves and Analysis
  • Microstructure and Mechanical Properties of Steels
  • Metal Alloys Wear and Properties
  • Coal Properties and Utilization
  • Seismic Imaging and Inversion Techniques
  • Liver Disease Diagnosis and Treatment
  • Liver Disease and Transplantation
  • Mineral Processing and Grinding
  • Aluminum Alloy Microstructure Properties
  • Heat Transfer Mechanisms
  • Metallurgical Processes and Thermodynamics
  • Engineering Applied Research
  • Aerodynamics and Fluid Dynamics Research
  • Grouting, Rheology, and Soil Mechanics
  • High-pressure geophysics and materials
  • Catalysis for Biomass Conversion

Northeastern University
2013-2025

University of Science and Technology Beijing
2018-2024

Xi'an Jiaotong University
2024

Universidad del Noreste
2013-2023

University of Science and Technology of China
2021-2023

Beihang University
2023

China University of Mining and Technology
2014-2019

Nanjing Drum Tower Hospital
2013-2018

Nanjing University of Chinese Medicine
2018

University of Chinese Academy of Sciences
2014-2015

As one of the dynamic disasters coal mines, rockburst seriously affects underground safe mining. Based on laboratory test, field and theoretical analysis, this study proposed principle rock burst induced by combination static stresses divided such into three types, including primary stress, mainly stress in low critical state. The expressions mining tremors were obtained. Moreover, theories technologies at home abroad summarized concerning monitoring, forecasting, preventing rockburst. These...

10.1007/s40789-014-0044-z article EN cc-by International Journal of Coal Science & Technology 2014-09-01

During coal and rock loading, a significantly large number of electromagnetic signals are generated as result fracture appearance crack expansion. The generation signal is the comprehensive embodiment failure behavior. Therefore, contain complex rich messages that can reflect damage process degree rock. In this work, multifractal theory applied to analyze nonlinear characteristics wave its spectrum induced during rock, which present good correlation with process. non-uniform, non-continuous...

10.1142/s0218348x20500619 article EN Fractals 2020-02-12

The characterization of micro-surface mechanical and electrical properties the natural rock materials remains inadequate, their macroscopic performance can be better comprehended by investigating surface properties. With this purpose, present research focuses on characterizing morphology, Derjaguin-Muller-Toporov (DMT) modulus, adhesion, potential granite, shale, limestone employing atomic force microscope (AFM) as a pioneer attempt. results show that morphology fluctuates within hundreds...

10.1016/j.ijmst.2021.12.008 article EN cc-by-nc-nd International Journal of Mining Science and Technology 2021-12-30

A novel approach for mapping induced fractures and associated lineaments has been introduced based on microseismic data, thus their contribution towards identification, prediction of the risk zones which may lead to a collapse or rockburst in coal mine. By taking Tashan Coal Mine (TCM) Datong coalfield China as an example, real-time data was acquired period 7 months. The processed using standard processing schemes followed by source location parameters estimation. proposed utilizes events,...

10.1016/j.egyr.2021.06.071 article EN cc-by-nc-nd Energy Reports 2021-06-25

Abstract Accurate prediction of coal and gas outburst (CGO) hazards is paramount in disaster prevention control. This paper endeavors to overcome the constraints posed by traditional indexes when dealing with CGO incidents under low pressure conditions. In pursuit this objective, we have studied established a mechanical model working face abnormal stress excitation energy conditions CGO, proposed method for predicting risk stress. On site application verification shows that strong hazard...

10.1007/s40789-025-00748-7 article EN cc-by International Journal of Coal Science & Technology 2025-03-07
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