MétaCan
Menu
Back to cohort
Record W2111678628 · doi:10.1061/41103(376)10

Treatment of Collapsible Soils by Salts Using the Double Consolidation Method

2010· article· en· W2111678628 on OpenAlexaff
Khelifa Abbèche, Ouassila Bahloul, Tahar Ayadat, Azeddine Bahloul

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrokinetic Soil Remediation Techniques
Canadian institutionsConcordia University
Fundersnot available
KeywordsSiltSoil waterConsolidation (business)AridGeotechnical engineeringExpansive clayAmmoniumCompactionWettingEnvironmental scienceMaterials scienceSoil scienceGeologyChemistryComposite material

Abstract

fetched live from OpenAlex

Collapsible soils are unsaturated soils which present a potential for large deformation and a complete change to the whole particle structure after wetting, with or without loading. These soils are characterized with loose structures composed of silt to fine-sand-size particles. Collapsible soils are deposited in arid and semi-arid regions. Due to the expansion of human activities, these regions are occupied aggressively leading to the use of large quantities of water, which creates favorable conditions for soil collapses. Theses soil failures lead to severe damage and large distress to man-made structures. The objective of this experimental study is to illustrate that the mechanical resistance of collapsible soil can be improved. This study demonstrates that it is possible to minimize the collapse potential Cp to an acceptable level after chemical treatment with salts (ammonium sulfates (NH4)2SO4 and potassium chlorides KC1) at different concentrations (i.e., 0.5, 1.0, 1.5 and 2.0 mole/liter) and under different compaction energies. The method used in this study is based on oedometric tests with variable normal stresses.

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 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 score0.158
Threshold uncertainty score0.230

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 head0.017
GPT teacher head0.299
Teacher spread0.282 · 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 teacher head, 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

Citations32
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicElectrokinetic Soil Remediation TechniquesFrench-language works237,207