Generation of 3D realistic geological particles using conditional generative adversarial network aided spherical harmonic analysis-Reference-Cited by-同舟云学术

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Generation of 3D realistic geological particles using conditional generative adversarial network aided spherical harmonic analysis

Published:2024-03 Issue: Volume:436 Page:119488
ISSN:0032-5910
Container-title:Powder Technology
language:en
Short-container-title:Powder Technology

Author:

Lu Jiale,Gong Mingyang

Publisher

Elsevier BV

Reference62 articles.

1. Rapid pavement aggregate gradation estimation based on 3D data using a multi-feature fusion network;Weng;Autom. Constr.,2022

2. Tire-derived aggregate layer performance in railway bridges as a novel impact absorber: numerical and field study;Esmaeili;Struct. Control. Health Monit.,2019

3. A mesh-free particle model for simulation of mobile-bed dam break;Shakibaeinia;Adv. Water Resour.,2011

4. 3D modelling of soil-rock mixtures considering the morphology and fracture characteristics of breakable blocks;Hu;Comput. Geotech.,2021

5. The role of particle morphology on concrete fracture behaviour: A mesoscale modelling approach;Wei;Cem. Concr. Res.,2020

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1. 3D-measurement of particles and particulate assemblies - A review of the paradigm shift in describing anisotropic particles;Powder Technology;2024-11

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