Relationships between gradation and deformation behavior of dense granular materials: Role of high‐order gradation characteristics-Reference-Cited by-同舟云学术

Relationships between gradation and deformation behavior of dense granular materials: Role of high‐order gradation characteristics

Published:2021-05-24 Issue:12 Volume:45 Page:1791-1808
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:

He Jizhong¹²,Liu Fang¹³,Deng Gang⁴,Fu Pengcheng⁵^ORCID

Affiliation:

1. State Key Laboratory of Disaster Reduction in Civil Engineering Tongji University Shanghai China

2. Engineering Computing Center Beijing Urban Construction Design and Development Group Co., Limited Beijing China

3. Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Tongji University Shanghai China

4. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower Research Beijing China

5. Atmospheric, Earth, and Energy Division Lawrence Livermore National Laboratory Livermore California USA

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.3224

Reference72 articles.

1. Testing and Modeling Two Rockfill Materials

2. 5th pan‐American conference on soil mechanics and geotechnical engineering;Ovalle C,2015

3. Grading evolution and critical state in a discrete numerical model of Fontainebleau sand

4. The influence of particle-size distribution on critical state behavior of spherical and non-spherical particle assemblies

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding the interplay between particle shape, grading and sample density on the behaviour of granular assemblies: A DEM approach;Granular Matter;2024-01-05

2. Research on representation of particle size distribution for standard sands;Powder Technology;2023-06

3. Improving the prediction accuracy of small-strain shear modulus of granular soils through PSD: An investigation enabled by DEM and machine learning technique;Computers and Geotechnics;2023-05

4. Small DEM sample size can lead to qualitatively erroneous results;Acta Geotechnica;2023-03-02

5. Large deformation slope failure — A perspective from multiscale modelling;Computers and Geotechnics;2022-10