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The Effects of the Particle Size Ratio on the Behaviors of Binary Granular Materials

Deze Yang, Xihua Chu*

School of Civil Engineering, Wuhan University, Wuhan, 430072, China

* Corresponding Author: Xihua Chu. Email: email

Computer Modeling in Engineering & Sciences 2023, 136(1), 63-85. https://doi.org/10.32604/cmes.2023.025062

Abstract

The particle size ratio (PSR) is an important parameter for binary granular materials, which may affect the microstructure and macro behaviors of granular materials. However, the effect of particle ratio on granular assemblies with different arrangements is still unclear. To explore and further clarify the effect of PSR in different packing structures, three types of numerical samples with regular, layered, and random packing are designed. Numerical results show that PSR has significant effects on binary granular samples with regular packing. The larger the PSR, the stronger the strength, the larger the modulus, and the smaller the angle between the shear band and the load direction. And a theoretical solution of the peak stress ratio vs. PSR is obtained for regular packing, and the results by DEM are in good agreement with the theoretical solution. Under layered packing, PSR has little effect on peak stress ratio due to similar microstructure obtained with the changing of PSR. The modulus slightly increased with the increase of PSR. Under random packing with small grain content of 50%, PSR has little effect in the range of 0.5–0.9, but in a larger range, larger PSR leads to greater modulus.

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APA Style
Yang, D., Chu, X. (2023). The effects of the particle size ratio on the behaviors of binary granular materials. Computer Modeling in Engineering & Sciences, 136(1), 63-85. https://doi.org/10.32604/cmes.2023.025062
Vancouver Style
Yang D, Chu X. The effects of the particle size ratio on the behaviors of binary granular materials. Comput Model Eng Sci. 2023;136(1):63-85 https://doi.org/10.32604/cmes.2023.025062
IEEE Style
D. Yang and X. Chu, "The Effects of the Particle Size Ratio on the Behaviors of Binary Granular Materials," Comput. Model. Eng. Sci., vol. 136, no. 1, pp. 63-85. 2023. https://doi.org/10.32604/cmes.2023.025062



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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