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Record W4410194040 · doi:10.1139/cgj-2024-0243

Undrained shear strength and stiffness behavior of natural stiff, geologically aged, plastic clays after undrained cyclic loading

2025· article· en· W4410194040 on OpenAlexvenueno aff
Kun Pan, Zhihua Shi, Zhongxuan Yang, R. J. Jardine, Yuanqiang Cai

Bibliographic record

VenueCanadian Geotechnical Journal · 2025
Typearticle
Languageen
FieldEngineering
TopicGrouting, Rheology, and Soil Mechanics
Canadian institutionsnot available
FundersKey ProgrammeInternational Cooperation and Exchange ProgrammeNational Natural Science Foundation of China
KeywordsGeotechnical engineeringStiffnessShear (geology)GeologyShear strength (soil)PlasticityMaterials scienceComposite materialSoil waterPetrology

Abstract

fetched live from OpenAlex

The degradation of clay deposits under cyclic loading significantly affects slope and foundation stability, necessitating consideration in practical design cases. While the cyclic degradation behavior of postglacial soil is well-studied, understanding the impact on older, stiff, plastic clays is lacking. This study investigates undrained shear behaviors of three UK stiff clays deposited between the Eocene and upper Jurassic periods. Triaxial compression tests on K0-consolidated samples subjected to prior undrained loading cycles reveal reduced post-cyclic shear strength and secant Young’s modulus, with stiffness being more affected than strength. Compared to Holocene soft clays, these stiff clays exhibit substantial strength loss. Correlation between degraded strength/stiffness and cyclically induced pore pressure or applied cyclic stress ratio underscores the role of effective stress conditions resulting from prior cycling. The findings highlight the complexity of cyclic degradation in older, stiff clays and its implications for slope and foundation stability in engineering practice.

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 score0.006
Threshold uncertainty score0.012

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 head0.006
GPT teacher head0.207
Teacher spread0.201 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Geotechnical JournalSame topicGrouting, Rheology, and Soil MechanicsFrench-language works237,207