Dumin Kuang’s work experience involves his tenure at the College of Civil Engineering, Xiangtan University, located in Hunan Province, PR China, starting from August 2021. Within this role, he has dedicated himself to research and academic pursuits, particularly in the realm of geotechnical engineering, focusing on the mechanical behavior and fragmentation mechanisms of calcareous sand particles. His academic endeavors have been reflected in various publications across renowned journals, showcasing his commitment and expertise in this field.

Education:

• Ph.D. in Civil Engineering
  • College of Civil Engineering, Xiangtan University, Hunan Province, PR China
  • Graduation Date: [Month Year]

Research Focus:

• Area of Expertise:
  • Building materials
  • Numerical simulation
  • Civil engineering

Professional Journey:

• Current Affiliation:
  • College of Civil Engineering, Xiangtan University, Hunan Province, PR China
  • Date Joined: August 2021

Author Metrics:

• Total Citations: 173
• H-Index: 8
• Documents Published: 20

Notable Publications:

DEM study on the effect of pore characteristic on single particle crushing behavior of porous articles

• Computers and Geotechnics, 2024, 165, 105919
• Citations: 0

Influences of size, shape and strain rate on mechanical properties of single coral particle

• Journal of Building Engineering, 2023, 78, 107667
• Citations: 0

Experimental study on high temperatures performance of rubberized geopolymer mortar

• Journal of Building Engineering, 2023, 76, 107091
• Citations: 1

Experimental study on preparation and properties of low content rubberized geopolymer mortar

• Construction and Building Materials, 2022, 352, 128980
• Citations: 4

Effects of particle size on the particle breakage of calcareous sands under impact loadings

• Construction and Building Materials, 2022, 341, 127809
• Citations: 5

A discrete element method (DEM)-based approach to simulating particle breakage

• Acta Geotechnica, 2022, 17(7), pp. 2751–2764
• Citations: 7

Application of back propagation neural network to the modeling of slump and compressive strength of composite geopolymers

• Computational Materials Science, 2022, 206, 111241
• Citations: 11

Approach to 3D reconstruction of calcareous sand using 2D images of multi-view

• Yantu Lixue/Rock and Soil Mechanics, 2022, 43(3), pp. 761–768
• Citations: 1

Predicting the glass formation of metallic glasses using machine learning approaches

• Computational Materials Science, 2021, 197, 110656
• Citations: 16

Experimental and numerical study on the fragmentation mechanism of a single calcareous sand particle under normal compression

• Bulletin of Engineering Geology and the Environment, 2021, 80(4), pp. 2875–2888
• Citations: 18