DEM modeling of granular soils reinforced by disposable face-mask chips
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 106804 |
Journal / Publication | Computers and Geotechnics |
Volume | 176 |
Online published | 1 Oct 2024 |
Publication status | Published - Dec 2024 |
Link(s)
Abstract
The use of disposable masks, especially in the wake of the COVID-19 pandemic, has led to an increased focus on sustainable disposal and recycling methods. This study investigates the feasibility of integrating shredded mask materials into granular soils to enhance their mechanical properties for engineering applications. After validating the selection of Discrete Element Method (DEM) contact parameters through the conducted physical experiments, a comprehensive series of DEM simulations was performed to explore the effects of various mask contents on the mechanical behavior of sand-mask chip mixtures (e.g., soil's strength and dilatancy) under different confining pressures. Additionally, the study analyzed the potential of mask chips in improving soil fabric, reducing contact force concentrations under shearing, and contributing to the soil's stability. The results suggest that waste face masks could serve as a valuable resource for soil stabilization. This not only provides a viable solution for mask waste management but also introduces a novel, eco-friendly material that could improve the engineering properties of granular soils. The findings underscore the importance of understanding the interaction between waste masks and soil and open new pathways for the recycling of non-biodegradable waste in geotechnical applications. © 2024 Elsevier Ltd.
Research Area(s)
- Discrete element method, Granular material, Triaxial tests, Waste masks
Citation Format(s)
DEM modeling of granular soils reinforced by disposable face-mask chips. / Wu, Mengmeng; Yin, Zhen-Yu; Sun, Yuze et al.
In: Computers and Geotechnics, Vol. 176, 106804, 12.2024.
In: Computers and Geotechnics, Vol. 176, 106804, 12.2024.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review