Effects of Grain Shape and Orientation on the Dynamic Mechanical and Damage Characteristics of Crystalline Rocks

ABSTRACT Grain shape and orientation considerably affect the dynamic mechanical and damage characteristics of engineering projects related to crystalline rocks. In this study, a transformed grain‐based model (TGBM) based on the transformation algorithm and the correction grouping algorithm is proposed to construct the model with different grain shapes and preferred orientation. Then, a novel calibration procedure is presented to determine the microparameters with respect to the TGBM dynamic simulation. Several methods are innovatively combined to reveal the mechanism of grain aspect ratio and preferred orientation on dynamic mechanical and damage characteristics of crystalline rocks. The results show that the preferred orientation is the main factor affecting crack characteristics, whereas the aspect ratio dominates the dynamic strength. Intragranular fracturing carries much weight and is the main failure mode in the high‐strain‐rate field; the occurrence frequency increases as the preferred orientation increases. Crystalline rocks with different preferred orientations have varying damage status on account of diverse failure modes. The dynamic strength of crystalline rock shows a strong sensitivity to the aspect ratio due to the changes in the proportions of different contact types.

Authors

Institutions

Publication Details

Journal
International Journal for Numerical and Analytical Methods in Geomechanics
Published
2025-08-11
DOI
https://doi.org/10.1002/nag.70041
Citations
1
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.86

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Grain Shape and Orientation on the Dynamic Mechanical and Damage Characteristics of Crystalline Rocks

Yuxia Guo, Daniel Dias, Guorui Feng, Renjie Wu et al.
1 citations
International Journal for Numerical and Analytical Methods in Geomechanics
Rock Mechanics and Modeling
0.86
article

Effects of Grain Shape and Orientation on the Dynamic Mechanical and Damage Characteristics of Crystalline Rocks

Yuxia Guo, Daniel Dias, Guorui Feng, Renjie Wu, H.B. Li
article en
1 citations

Abstract

ABSTRACT Grain shape and orientation considerably affect the dynamic mechanical and damage characteristics of engineering projects related to crystalline rocks. In this study, a transformed grain‐based model (TGBM) based on the transformation algorithm and the correction grouping algorithm is proposed to construct the model with different grain shapes and preferred orientation. Then, a novel calibration procedure is presented to determine the microparameters with respect to the TGBM dynamic simulation. Several methods are innovatively combined to reveal the mechanism of grain aspect ratio and preferred orientation on dynamic mechanical and damage characteristics of crystalline rocks. The results show that the preferred orientation is the main factor affecting crack characteristics, whereas the aspect ratio dominates the dynamic strength. Intragranular fracturing carries much weight and is the main failure mode in the high‐strain‐rate field; the occurrence frequency increases as the preferred orientation increases. Crystalline rocks with different preferred orientations have varying damage status on account of diverse failure modes. The dynamic strength of crystalline rock shows a strong sensitivity to the aspect ratio due to the changes in the proportions of different contact types.

International Journal for Numerical and Analytical Methods in GeomechanicsVol. 49(16)
Centre National de la Recherche Scientifique (FR), Institute of Rock and Soil Mechanics (CN), University of Chinese Academy of Sciences (CN), Taiyuan University of Science and Technology (CN), Université Grenoble Alpes (FR), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, Shanxi Scholarship Council of China
Sustainable cities and communities
Openalex Percentile: Top 26%
Rock Mechanics and Modeling
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.