Ning Li

ORCID: 0000-0002-0510-4314
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About
Contact & Profiles
Research Areas
  • Rock Mechanics and Modeling
  • Drilling and Well Engineering
  • Hydraulic Fracturing and Reservoir Analysis
  • Geotechnical Engineering and Analysis
  • Landslides and related hazards
  • Tunneling and Rock Mechanics
  • Geomechanics and Mining Engineering
  • Climate change and permafrost
  • Geotechnical Engineering and Underground Structures
  • Grouting, Rheology, and Soil Mechanics
  • Multilevel Inverters and Converters
  • Hydrocarbon exploration and reservoir analysis
  • Geotechnical and Geomechanical Engineering
  • Advanced DC-DC Converters
  • Civil and Geotechnical Engineering Research
  • Reservoir Engineering and Simulation Methods
  • Geoscience and Mining Technology
  • Soil, Finite Element Methods
  • Cryospheric studies and observations
  • Seismic Imaging and Inversion Techniques
  • Geophysical Methods and Applications
  • Oil and Gas Production Techniques
  • Seismic Waves and Analysis
  • Geotechnical Engineering and Soil Stabilization
  • Microgrid Control and Optimization

Xi'an University of Technology
2016-2025

Research Institute of Petroleum Exploration and Development
2019-2025

Central South University
2024

China National Petroleum Corporation (China)
2019-2024

Changchun Institute of Optics, Fine Mechanics and Physics
2024

Chinese Academy of Sciences
2003-2024

Xi’an University
2021-2024

Xi'an University of Architecture and Technology
2011-2023

Southwest Jiaotong University
2023

Northeastern University
2023

10.1016/j.ijrmms.2018.12.015 article EN International Journal of Rock Mechanics and Mining Sciences 2018-12-21

Freeze-thaw failure of frozen rock slope often occurs during engineering construction and mining in cold area, which poses a great threat to people's life safety. The properties mass region will change with the periodic temperature, makes it difficult accurately evaluate stability under action freeze-thaw cycle by conventional methods. Based on field investigation literature review, this paper discusses characteristics mechanism slope, gives types modes slope. Then, research status is...

10.1038/s41598-024-56346-1 article EN cc-by Scientific Reports 2024-03-07

The technology deployed for lithium-ion battery state of charge (SOC) estimation is an important part the design electric vehicle management systems. Accurate SOC can forestall excessive charging and discharging batteries, thereby improving discharge efficiency extending cycle life. In this study, key technologies are summarized. First, research status modeling introduced. Second, main difficulties in model parameter identification batteries discussed. Third, development advantages...

10.1016/j.gloei.2022.01.003 article EN cc-by-nc-nd Global Energy Interconnection 2021-12-01

Abstract Based on a comprehensive review of domestic and foreign literature, this article discusses the technical difficulties development status enhanced geothermal system (EGS) concerning thermal energy extraction deep hot dry rock (HDR) reservoirs proposes suggestions for research focus numerical simulation HDR reservoir stimulation. Additionally, it summarizes existing methods mainstream working fluids The emphasizes significance factors such as well location, production depth,...

10.1002/dug2.12080 article EN cc-by Deep Underground Science and Engineering 2024-03-11

10.1016/j.ijrefrig.2011.07.001 article EN International Journal of Refrigeration 2011-07-16

In recent years, more and attention has been paid to wind energy throughout the world as a kind of clean renewable energy. Due doubts concerning power influence natural factors such weather, unpredictability, risk system operation increase, seems less reliable than traditional generation. An accurate prediction would enable dispatching department appropriately adjust scheduling plan in advance according changes power, ensure quality, reduce standby capacity system, cost adverse impact...

10.3390/en12040673 article EN cc-by Energies 2019-02-19

Field evaluation of the strength properties jointed rock masses is a challenging task in geotechnical engineering. Typically, laboratory tests using small specimens have difficulty determining parameters due to scale dependence discontinuities and because are expensive time-consuming. Fast continuous estimation unconfined compressive σcm mass directly drilling via deep convolutional neural network (CNN) novel practical field investigation method. This paper presents CNN framework that...

10.1061/(asce)gm.1943-5622.0002074 article EN International Journal of Geomechanics 2021-04-28
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