Effect of humidity on the static angle in granular systems

Binda, L.; Vidales, Ana María; Uñac, Rodolfo Omar; Roht, Yanina Lucrecia; Gómez-Arriaran, Iñaki; Ippolito, I.

doi:10.1007/s10035-021-01109-2

Cited by 1 publication

(1 citation statement)

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“…The cohesion generated by the liquid bridge between particles has a great influence on stability [4][5][6], and even small amounts of liquid or vapor can contribute to form the liquid bridge [7][8][9]. The properties of wet granules are very different from dry granules.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on Effect of Aggregate Moisture on Mixing Process

Cao,

Xie,

Deng

et al. 2024

Materials

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During the concrete mixing process, the transition of aggregates from a dry to a moist state introduces a crucial dynamic that significantly influences particle interaction, consequently impacting mixing homogeneity. In this paper, based on the discrete element method, the effect of aggregate moisture on the mixing process of sand and stone was investigated. The interaction between dry particles was described by the Hertz–Mindlin model, while the interaction between wet particles was calculated by the linear cohesion model considering the liquid bridge force. Additionally, a functional relationship between the moisture content and the parameters of the linear cohesive contact model was established. The results show that the numerical method can be employed to simulate the mixing process. Notably, when the moisture content of pebbles ranges from 0% to 0.75% and that of sand ranges from 0% to 10.9%, the linear cohesion model is deemed suitable. The standard deviation of the mixing homogeneity of wet particles is lower than that of dry particles for short mixing time, indicating that a small amount of liquid enhances mixing homogeneity. However, moisture has no obvious effect on mixing homogeneity for a long mixing time. This nuanced understanding of the interplay between moisture, particle interactions, and mixing duration contributes valuable insights to optimize concrete mixing processes.

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