Jun Guo

ORCID: 0000-0001-7807-1165
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About
Contact & Profiles
Research Areas
  • Polymer crystallization and properties
  • Conducting polymers and applications
  • Advanced Battery Materials and Technologies
  • Material Dynamics and Properties
  • Polymer Nanocomposites and Properties
  • Advanced battery technologies research
  • Machine Learning in Materials Science
  • Rheology and Fluid Dynamics Studies
  • Recycling and Waste Management Techniques
  • Polymer Foaming and Composites
  • Phase Equilibria and Thermodynamics
  • Geomechanics and Mining Engineering
  • Thermodynamic properties of mixtures
  • Electrochemical Analysis and Applications
  • biodegradable polymer synthesis and properties
  • Rock Mechanics and Modeling
  • Geoscience and Mining Technology
  • Chemistry and Chemical Engineering

Changchun University of Science and Technology
2024

Chinese Academy of Sciences
2024

Changchun Institute of Applied Chemistry
2024

Shanxi Coal Transportation and Sales Group (China)
2024

Taiyuan University of Technology
2024

Hohai University
2017-2020

Zhejiang University
2020

Ministry of Culture
2002

The relationship between support and surrounding rock is of great significance to the control in mining process. In view fact that most existing numerical simulation methods construct virtual elements stress servo approximately replace hydraulic problem, this paper establishes a new model with same working characteristics as actual by integrating software Rhino, Griddle FLAC3D, which can realize different conditions. Based on model, influence mechanism supporting strength regulation coal...

10.1016/j.ijmst.2024.04.011 article EN cc-by-nc-nd International Journal of Mining Science and Technology 2024-04-01

In this paper, we present an experimental study on strain hardening of amorphous thermosets. A series polymers is synthesized with similar glass transition regions and different network densities. Uniaxial compression tests are then performed at two rates spanning the region. The results show that a more pronounced response can be observed as decreasing temperature increasing rate density. We also use Neo-Hookean model Arruda–Boyce to fit responses. only describe lightly cross-linked...

10.1115/1.4040692 article EN Journal of Applied Mechanics 2018-07-17

10.1016/j.jnoncrysol.2017.03.036 article EN Journal of Non-Crystalline Solids 2017-04-02
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