Experimental Study on the Mechanical Behavior of Frozen Soil Reinforced with Disposable Face Masks

A vast amount of waste disposable face masks (FM) has threatened the ecosystem since COVID-19 became a pandemic. Given the urgency of the situation, this study innovatively assessed the potential utilization of the waste FM fibers to reinforce the subgrade in the permafrost regions. The effect of FM contents (0.5%, 1%, and 1.5%) and length–width (LW) ratios (1, 2, and 3) of the frozen silty clay specimens (−10°C) with different initial moisture contents (w = 15%, 20%, and 25%) on the mechanical behavior, including the peak deviatoric stress (q), the increment of peak deviatoric stress (λ), and the initial elastic modulus (E0), was analyzed. The pore structure change mechanism under the influence of FM and w was further revealed via nuclear magnetic resonance (NMR). The results indicated that the incorporation of FM improved the soil strength at a certain w, while the FM content and LW ratio were found to have different effects on the q values. The most effective reinforcement can be identified at w = 20%, according to the relatively large λ values (29.2%–79.1%). Moreover, the E0 values of specimens with higher initial moisture content and FM content were smaller, which can be explained by the cracks generated due to the water-ice phase change and uneven distribution of FM. NMR results revealed that the FM had less effect on the pore-water relaxation characteristics, and the change in soil structure was more remarkable in the frozen specimens with higher w. This study pointed out that the tension of FM and its bonding soil particles played the leading role in soil stress–strain behavior.

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Publication Details

Journal
Journal of Cold Regions Engineering
Published
2024-09-26
DOI
https://doi.org/10.1061/jcrgei.creng-846
Citations
3
Primary Topic
Smart Materials for Construction
Type
article
Field-Weighted Citation Impact
0.40
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article

Experimental Study on the Mechanical Behavior of Frozen Soil Reinforced with Disposable Face Masks

Jianpeng Liu, Jin Zhang, Shuang Cao, Xinyu Chang et al.
3 citations
Journal of Cold Regions Engineering
Smart Materials for Construction
0.40
article

Experimental Study on the Mechanical Behavior of Frozen Soil Reinforced with Disposable Face Masks

Jianpeng Liu, Jin Zhang, Shuang Cao, Xinyu Chang, Feifan Liu, Huixiong Weng
article en
3 citations

Abstract

A vast amount of waste disposable face masks (FM) has threatened the ecosystem since COVID-19 became a pandemic. Given the urgency of the situation, this study innovatively assessed the potential utilization of the waste FM fibers to reinforce the subgrade in the permafrost regions. The effect of FM contents (0.5%, 1%, and 1.5%) and length–width (LW) ratios (1, 2, and 3) of the frozen silty clay specimens (−10°C) with different initial moisture contents (w = 15%, 20%, and 25%) on the mechanical behavior, including the peak deviatoric stress (q), the increment of peak deviatoric stress (λ), and the initial elastic modulus (E0), was analyzed. The pore structure change mechanism under the influence of FM and w was further revealed via nuclear magnetic resonance (NMR). The results indicated that the incorporation of FM improved the soil strength at a certain w, while the FM content and LW ratio were found to have different effects on the q values. The most effective reinforcement can be identified at w = 20%, according to the relatively large λ values (29.2%–79.1%). Moreover, the E0 values of specimens with higher initial moisture content and FM content were smaller, which can be explained by the cracks generated due to the water-ice phase change and uneven distribution of FM. NMR results revealed that the FM had less effect on the pore-water relaxation characteristics, and the change in soil structure was more remarkable in the frozen specimens with higher w. This study pointed out that the tension of FM and its bonding soil particles played the leading role in soil stress–strain behavior.

Journal of Cold Regions EngineeringVol. 38(4)
Analytical Engineering (United States) (US), Changzhou University (CN)
Openalex Percentile: Top 47%
Smart Materials for Construction
0.40
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