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Moisture and soil strength monitoring of a railway embankment remediated with wicking geotextile

2021· article· en· W4253234101 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMATEC Web of Conferences · 2021
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSubgradeBallastGeotextileDrainageEnvironmental scienceWater contentGeotechnical engineeringLeveeMoisturePrecipitationHydrology (agriculture)GeologyMeteorology

Abstract

fetched live from OpenAlex

A 45 m section of a railway embankment located at Fort Saskatchewan County in Alberta, Canada, was remediated as a part of the Canadian Pacific Railway’s (CP) Grade Stabilization/Remediation Plan. The embankment materials were replaced while a 4.6 m wide reinforcing geotextile (Mirafi® RS580i) and a 7.3 m wide wicking geotextile (Mirafi® H2Ri) were installed in the ballast and sub-ballast interface and between the subgrade and sub-ballast, respectively, aiming to address issues such as poor drainage and moisture retention. The studied site consists of an instrumented track including a remediated and an adjacent control section that provided the opportunity to measure volumetric water content (VWC) within the sub-ballast and clayey subgrade at both configurations. The VWC variation with seasonal weather change is continuously monitored by nine moisture sensors, and an antecedent precipitation index (API) model was developed to evaluate the influence of precipitation events on the VWC in both sections and to interpret the impact of the in situ VWC on the unsaturated strength of the soil according to the soil-water characteristic curve (SWCC) results. An initial evaluation of the moisture-suction relationship has shown that the subgrade soil strength is improving within the remediated section; nonetheless, these trends are anticipated to be more consistent with long-term observation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.413

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 head0.007
GPT teacher head0.191
Teacher spread0.184 · 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