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Record W2318362272 · doi:10.1061/9780784412787.036

Integrated Slope Stability Analyses of Wastewater Storage Structure extending the Capillary Barrier Technique

2013· article· en· W2318362272 on OpenAlexaff
Won Taek Oh, Sai K. Vanapalli

Bibliographic record

VenueGeo-Congress 2013 · 2013
Typearticle
Languageen
FieldEngineering
TopicSoil and Unsaturated Flow
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCapillary actionWastewaterSoil waterGeotechnical engineeringEnvironmental scienceMaterials scienceSoil scienceEngineeringEnvironmental engineeringComposite material

Abstract

fetched live from OpenAlex

In this paper, the concept of the capillary barrier effect used in the design of soil covers has been extended for the design of a typical trapezoidal shape wastewater storage structure placed below the natural ground level. The covers with capillary barrier effect (CCBE) is promising as it can be used both for the reduction of seepage and also for stabilizing the side slopes of the storage structures. The focus of the present study is to highlight the slope stability of a wastewater storage structure with two soil layers which constitutes of a coarse- and a fine-grained soil. The numerical studies using the commercial software, GEO-SLOPE demonstrates that the wastewater storage structure constructed with capillary barrier (2.5m in storage height and 1:3 for cut slopes) can be stable over a long period of time under various scenarios of infiltration discussed in the paper. In addition, a methodology that can be used in the design of wastewater storage structure below ground level using the mechanics of unsaturated soils is summarized.

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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.015
GPT teacher head0.231
Teacher spread0.216 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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