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Record W4413123331 · doi:10.1139/cgj-2025-0009

Physicochemical deterioration mechanism of red-bed mudstone during water–rock interactions: insights from soaking experiments

2025· article· en· W4413123331 on OpenAlexvenueno aff
Guoxiang Tu, Cheng Tan, Yanrong Li

Bibliographic record

VenueCanadian Geotechnical Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsGeotechnical engineeringMechanism (biology)Geology

Abstract

fetched live from OpenAlex

The softening of red-bed mudstone upon water exposure is a critical factor triggering geological hazards such as landslides. Previous studies have not sufficiently clarified the physicochemical mechanisms underlying the deterioration of red-bed mudstone under water–rock interactions. This paper takes the red-bed mudstone from three landslides in Qinghai. Through soaking experiments and combined with X-ray diffraction, scanning electron microscopy, pore and crack analysis system, ion chromatography, and inductively coupled plasma optical emission spectrometer, the changes in mineral composition, pore structure, and solution ion concentration of the mudstone before and after the soaking were tested and analyzed. Results indicate that the degradation of red-bed mudstone under water–rock interactions is the outcome of the combination of mineral dissolution and secondary formation, clay mineral expansion, water–rock ion exchange, and hydraulic erosion. Hydrolysis of clay minerals, hydrolysis and carbonation of feldspar and calcite, increased porosity by 52%–172.6% and pore quantity by 63.1%–197.9%. The cations released from the hydrolysis of feldspar and calcite participated in clay mineral transformation, increasing total clay minerals content by 3.95%–7.88%. These chemical reactions are key drivers of the deterioration of microstructure. Additionally, the increase in clay minerals and their expansion further degrade the mechanical properties of mudstone.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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