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Abstract
Internal erosion poses a significant threat to many geotechnical infrastructures as fine particles removed from gap-graded soils, which can be promoted by mechanical disturbances caused by human activities and natural hazards. This study investigates the transitional behavior of internal erosion as gap-graded soils undergo triaxial shearing under a constant hydraulic gradient. Three gap-graded samples consisted of Leighton Buzzard sand (LBS) with varying fines content, representing underfilled, filled, and overfilled conditions, are examined. X-ray tomography scans are performed during the loading process and quantified through subsequent image processing. The progression of internal erosion is characterized at both sample scale and pore scale. Experimental results reveal distinct internal erosion behaviors. The underfilled sample experiences rapid internal erosion with uniformly distributed empty pores, indicative of suffusion. Conversely, the filled and overfilled samples are subject to channel formation and backward erosion, followed by rapid channel expansion. © 2024 American Society of Civil Engineers.
| Original language | English |
|---|---|
| Article number | 04024165 |
| Journal | Journal of Geotechnical and Geoenvironmental Engineering |
| Volume | 151 |
| Issue number | 2 |
| Online published | 6 Dec 2024 |
| DOIs | |
| Publication status | Published - Feb 2025 |
Funding
This study was supported by the General Research Fund Grants Nos. CityU 11207321 and 11204224 from the Research Grants Council of the Hong Kong SAR, as well as Research Grant No. 52378371 from the National Natural Science Foundation of China.
Research Keywords
- Backward erosion
- Empty pore
- Internal erosion
- Suffusion
- Transitional behavior
- X-ray computed tomography (CT)
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://doi.org/10.1061/JGGEFK.GTENG-12967.
RGC Funding Information
- RGC-funded
Fingerprint
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GRF: Development of an X-Ray Microtomography Method for Full-Field Discrete Particle Tracking in Sand Specimens
WANG, J. J. (Principal Investigator / Project Coordinator)
1/01/25 → …
Project: Research
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GRF: Development of A Hybrid Feature-Aided Volumetric Digital Image Correlation Method for Fine-Grained Soil Mixtures
WANG, J. J. (Principal Investigator / Project Coordinator) & PAN, B. (Co-Investigator)
1/01/22 → 25/06/26
Project: Research
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