Face mask chips-reinforced sands under monotonic and cyclic torsional shearing

In an effort to enhance engineering infrastructure and reduce environmental waste, the use of COVID-19 face-mask chips (FMC) in sand reinforcement is experimentally explored through drained, hollow-cylinder, torsional shear tests, including monotonic stress paths with different fixed orientation of the principal stress axes and cyclic tests with traffic load and pure principal stress rotation. Fujian sand and Hong Kong completely decomposed granite sand were used. The monotonic test results indicate that both sands exhibit a strong strength anisotropy; however, although the addition of FMC increases the peak stress ratio to failure of the composites for all tests, the strength anisotropy trends with ασ are not changed. Results from X-ray computed tomography scanning analyses conducted on FMC-reinforced and unreinforced cylinder sand specimens supported the interpretation of experimental data. Furthermore, the inclusion of FMC induces increased plastic deformation under cyclic loads in all tests; however, the level of these plastic strains is dependent on sand type and stress level. It was also observed that both sands exhibit non-coaxial characteristics, but the presence of FMC inclusions does not change the non-coaxial trends observed for the pure sands.

Authors

Institutions

Publication Details

Journal
Géotechnique
Published
2025-02-03
DOI
https://doi.org/10.1680/jgeot.24.01180
Citations
16
Primary Topic
Geotechnical Engineering and Soil Stabilization
Type
article
Field-Weighted Citation Impact
15.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Face mask chips-reinforced sands under monotonic and cyclic torsional shearing

Erdin Ibraim, Zhi Ding, Shaoheng He, Zhen‐Yu Yin
16 citations
Géotechnique
Geotechnical Engineering and Soil Stabilization
15.25
article

Face mask chips-reinforced sands under monotonic and cyclic torsional shearing

Erdin Ibraim, Zhi Ding, Shaoheng He, Zhen‐Yu Yin
article en
16 citations

Abstract

In an effort to enhance engineering infrastructure and reduce environmental waste, the use of COVID-19 face-mask chips (FMC) in sand reinforcement is experimentally explored through drained, hollow-cylinder, torsional shear tests, including monotonic stress paths with different fixed orientation of the principal stress axes and cyclic tests with traffic load and pure principal stress rotation. Fujian sand and Hong Kong completely decomposed granite sand were used. The monotonic test results indicate that both sands exhibit a strong strength anisotropy; however, although the addition of FMC increases the peak stress ratio to failure of the composites for all tests, the strength anisotropy trends with ασ are not changed. Results from X-ray computed tomography scanning analyses conducted on FMC-reinforced and unreinforced cylinder sand specimens supported the interpretation of experimental data. Furthermore, the inclusion of FMC induces increased plastic deformation under cyclic loads in all tests; however, the level of these plastic strains is dependent on sand type and stress level. It was also observed that both sands exhibit non-coaxial characteristics, but the presence of FMC inclusions does not change the non-coaxial trends observed for the pure sands.

GéotechniqueVol. 75(11)
Hong Kong Polytechnic University (HK), University of Bristol (GB), Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN), Hangzhou City University, City University of Macau (MO)
Openalex Percentile: Top 1%
Geotechnical Engineering and Soil Stabilization
15.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.