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Record W4406125533 · doi:10.1016/j.kscej.2024.100028

Analysis of slope stability based on layered infiltration theory under wet-dry cycle conditions

2025· article· en· W4406125533 on OpenAlexfundno aff
Ya Zhao, Hongri Zhang, Guiyao Wang, Yanqi Yang, Weiming Tian

Bibliographic record

VenueKSCE Journal of Civil Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsnot available
FundersOntario Ministry of TransportationNational Key Research and Development Program of ChinaGuangxi Key Research and Development ProgramScientific Research Foundation of Hunan Provincial Education DepartmentNational Natural Science Foundation of ChinaEducation Department of Hunan Province
KeywordsInfiltration (HVAC)Geotechnical engineeringStability (learning theory)Materials scienceEnvironmental scienceGeologyComposite materialComputer science

Abstract

fetched live from OpenAlex

The cracking and strength deterioration of expansive soil resulting from the wetting-drying cycle caused by the process of rainfall evaporation is a crucial factor in the initiation of slope instability. Understanding the impact of cracking development in expansive soil slopes on the infiltration process, and integrating it with the soil's strength deterioration for stability analysis, holds the key to addressing this issue. This study presents a stability calculation model for expansive soil slopes during the wetting-drying cycle, derived from the improved Richards' seepage model. The research findings reveal that the stratified infiltration model, which considers cracks, demonstrates better accuracy in reflecting the rainfall infiltration process compared to the traditional GA infiltration model. The case analysis confirms the significant influence of expansiveness on the stability of expansive soil slopes. Moreover, the stability analysis model derived from the stratified infiltration model exhibits a high level of agreement with the numerical simulation.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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 designSimulation or modeling
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

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