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Record W3089565429 · doi:10.1680/jenge.20.00011

Effect of pore fluid pH on the collapse behaviour and microstructural evolution of a loess

2020· article· en· W3089565429 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironmental Geotechnics · 2020
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsOedometer testLoessConsolidation (business)Pore water pressureWettingGeologyGeotechnical engineeringMineralogySoil testMaterials scienceSoil waterSoil scienceComposite materialGeomorphology

Abstract

fetched live from OpenAlex

This study investigated the role of pore fluid pH in governing the microstructural characteristics of loess soil and its ultimate effect on collapse mechanisms. A series of standard oedometer tests was conducted to evaluate the impact of acidic and alkaline pore fluid pH on the collapse behaviour of loess. The microstructural characterisation of soil exposed to different values of pore fluid pH was done by performing microscopic analysis of specimens before and after oedometer tests. In addition, the obtained micrographs were processed using an image analysis tool in order to interpret the influence of different pore fluid pH interactions on the evolution of soil pore-size distribution characteristics. The results obtained in this study indicated that the pore fluid pH has significant effect on the structural stability of loess and on the evolution of pore-size distribution during consolidation and consequently, on its wetting-induced collapse behaviour.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.022
Threshold uncertainty score0.329

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.003
GPT teacher head0.164
Teacher spread0.161 · 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