Prediction of constrained modulus for granular soil using 3D discrete element method and convolutional neural networks-Reference-Cited by-同舟云学术

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Prediction of constrained modulus for granular soil using 3D discrete element method and convolutional neural networks

Published:2024-04 Issue: Volume: Page:
ISSN:1674-7755
Container-title:Journal of Rock Mechanics and Geotechnical Engineering
language:en
Short-container-title:Journal of Rock Mechanics and Geotechnical Engineering

Author:

Zhang Tongwei^ORCID,Li Shuang,Yang Huanzhi^ORCID,Zhang Fanyu^ORCID

Publisher

Elsevier BV

Reference70 articles.

1. Granular element method for computational particle mechanics;Andrade;Comput. Methods Appl. Mech. Eng.,2012

2. Dielectric method for the prediction of porosity of saturated soil;Arulanandan;J. Geotech. Eng.,1991

3. A Review of particle size analysis with X-ray CT;Behnsen;Materials,2023

4. The influence of particle characteristics on the behaviour of coarse grained soils;Cavarretta;Geotechnique,2010

5. Convolutional neural networks (CNNs)-based multi-category damage detection and recognition of high-speed rail (HSR) reinforced concrete (RC) bridges using test images;Chen;Eng. Struct.,2023

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