An automatic identification method for width of shear band of sand in PFC simulations

CHEN Xi; LIU Zong-qi; CUI Liu-sheng; TANG Jian-bin

doi:10.11779/CJGE2022S2039

Volume 44 Issue S2

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Chinese Journal of Geotechnical Engineering > 2022 > 44(S2): 179-182. > DOI: 10.11779/CJGE2022S2039

CHEN Xi, LIU Zong-qi, CUI Liu-sheng, TANG Jian-bin. An automatic identification method for width of shear band of sand in PFC simulations[J]. Chinese Journal of Geotechnical Engineering, 2022, 44(S2): 179-182. DOI: 10.11779/CJGE2022S2039

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An automatic identification method for width of shear band of sand in PFC simulations

Key Laboratory of Urban Underground Engineering of Ministry of Education, Beijing Jiaotong University, Beijing 100044, China

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Received Date: November 28, 2022
Available Online: March 26, 2023

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Abstract

Abstract

Studying the strain localization of granular materials from the meso-scale is helpful for deeply understanding the physical and mechanical natures of strain localization, and the occurrence and evolution of shear bands are the typical characteristics of strain localization. In the numerical simulations of discrete element method (DEM), observing and measuring the evolution of strain localization of sand (such as the width, inclination angle and distribution type of shear bands, etc.) greatly rely on the manual, visual and estimation ways. Towards this problem, many numerical experiments on the dense sands in biaxial compression are carried out by using PFC^2D. Based on the numerical experiments, an identification method based on "α-shape" and "Delaunay triangulation" algorithms is developed to automatically identify the shear bands and their widths. Furthermore, based on some groups of biaxial compression tests on the dense sands, the effectiveness of the proposed automatic identification method is validated.
- discrete element method,
- strain localization,
- shear band,
- automatic identification,
- α-shape,
- Delaunay triangulation

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