Tomography-based DEM simulation of Fujian River sand considering multiscale particle morphology

IF 5.3 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Wei Xiong , Zeyu Wang , Jianfeng Wang
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引用次数: 0

Abstract

This study conducts tomography-based derivative discrete element method (DEM) simulations of Fujian River sand under triaxial shear. It contains the X-ray μCT experiment for the particle morphology extraction, the digital twin-based model calibration for obtaining the model parameters, the spherical harmonic-based principal component analysis for the morphological gene mutation at different length scales, and the DEM simulations of virtual triaxial tests. 26 DEM samples were generated comprising three degrees of morphological gene mutation at different length scales. In this context, the particle morphology at each length scale can be successfully isolated to highlight its specific contribution to the allocation of external loadings within a given granular assemblage. It is found that particle morphology at different length scales plays a more crucial role in the various aspects of micro–macro mechanical behaviours of granular soils. The results of this study provide a novel viewpoint to systematically connect the micro-scale properties and macro-scale responses of granular soils under triaxial shear.
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来源期刊
Computers and Geotechnics
Computers and Geotechnics 地学-地球科学综合
CiteScore
9.10
自引率
15.10%
发文量
438
审稿时长
45 days
期刊介绍: The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.
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