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Record W4411603769 · doi:10.1139/cgj-2026-0044

Research on Deterioration Mechanism of Sulphate Saline Soil Strength Under Freeze-Thaw Cycles in Xining Area

2025· preprint· en· W4411603769 on OpenAlexvenueno aff
Yuxi Guo, Yan Qin, Nengxiong Xu, Shengwei Li, Jiayu Qin, Wenjing Zhou

Bibliographic record

VenueCanadian Geotechnical Journal · 2025
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsMechanism (biology)SalineEnvironmental scienceGeotechnical engineeringSoil scienceGeologyMedicineInternal medicinePhilosophy

Abstract

fetched live from OpenAlex

In China’s seasonal permafrost regions, widespread saline soils are prone to frost heave, salt heave, and uneven thaw settlement, mainly driven by freeze–thaw cycles and salt content. This study investigates the mechanical behavior and strength degradation of sulfate saline soils in the Xining area under freeze–thaw cycles through field investigations, laboratory tests, theoretical analysis, and establishes a corresponding strength damage model. The results indicate that sulfate saline soils exhibit a thick diffuse double layer and high particle dispersibility. Repeated salt frost heave–thaw settlement leads to significant structural degradation. With increasing freeze–thaw cycles, the abundance distribution proportion of structural units within the range of 0.8–1.0 has increased. Microstructural units become more equiaxed, pores elongate, particle contact area decreases. Macroscopically, the soil undergoes periodic volume changes and progressive strength deterioration. The decrease in cohesion and internal friction angle is 26%–30% and 32%–44%, respectively. Moreover, increasing salt content enhances the heterogeneity in the morphology and orientation of structural units, aggravating structural damage. At the macroscopic level, the amplitude of alternating “salt frost heave–thaw settlement” deformation increases, and the salt heave rate rises to about 11 times that of frost heave, accounting for more than 90% of the total deformation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.118
GPT teacher head0.329
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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