Three‐dimensional quantitative analysis on granular particle shape using convolutional neural network-Reference-Cited by-同舟云学术

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Three‐dimensional quantitative analysis on granular particle shape using convolutional neural network

Published:2021-11-22 Issue:1 Volume:46 Page:187-204
ISSN:0363-9061
Container-title:International Journal for Numerical and Analytical Methods in Geomechanics
language:en
Short-container-title:Int J Numer Anal Methods Geomech.

Author:

Zhang Pin¹^ORCID,Yin Zhen‐Yu¹^ORCID,Jin Yin‐Fu¹^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering The Hong Kong Polytechnic University, Kowloon Hong Kong China

Publisher

Wiley

Subject

Mechanics of Materials,Geotechnical Engineering and Engineering Geology,General Materials Science,Computational Mechanics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/nag.3296

Reference43 articles.

1. Relationships between Shape Characteristics and Shear Strength of Sands

2. Particle Shape Effects on Packing Density, Stiffness, and Strength: Natural and Crushed Sands

3. Effect of Particle Shape on the Mechanical Behavior of Natural Sands

4. A discrete numerical model for granular assemblies

5. DEM simulation on the one-dimensional compression behavior of various shaped crushable granular materials

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