A Grading Entropy Review of PSD-Based Frost Susceptibility Criteria
Publication: Geo-Congress 2024
ABSTRACT
Particle size distribution (PSD) is recognised among geotechnical engineers as an informative soil descriptor, and often used to predict geomechanical behaviours. However, the effectiveness of PSD to characterise frost action is debatable. Existing criteria for assessing frost susceptibility have relied on traditional PSD descriptors, such as Cu, which depend on individual parameters (i.e., d10, d60) which explicitly neglect the effect of fines and gravel content. In turn, it has been reported that fines content is critical in the formation of ice lenses. Grading entropy is a method which accounts for all the information in the PSD. In this work, normalised entropy coordinates are used to review PSD-based frost susceptibility criteria and assess whether alternative PSD descriptors can more successfully characterise frost action susceptibility. The effect of PSD (via grading entropy coordinates) on the development of frost heave is investigated using existing experimental datasets. The findings in this work highlight significant variability in the PSD criteria, suggesting that PSD alone is not a reliable indicator. However, examining experimental datasets indicated a clear effect of PSD using grading entropy coordinates for understanding the development of frost heave.
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Information & Authors
Information
Published In
Geo-Congress 2024
Pages: 714 - 724
History
Published online: Feb 22, 2024
ASCE Technical Topics:
- Analysis (by type)
- Cold regions engineering
- Earth materials
- Engineering fundamentals
- Engineering mechanics
- Entropy methods
- Frost
- Frost heave
- Geomaterials
- Geomechanics
- Geotechnical engineering
- Particle size distribution
- Power spectral density
- Soil mechanics
- Soil properties
- Statistical analysis (by type)
- Thermodynamics
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