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Record W2188985989

Field Pull-Out Tests On Scrap Tire Arrangements

2000· article· en· W2188985989 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

VenueISRM International Symposium · 2000
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsScrapReinforcementGeotextileGeotechnical engineeringEngineeringWaste managementStructural engineeringMaterials scienceMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Reinforcement elements have been increasingly used in Geotechnical Engineering practice. The use of scrap tires as a reinforcement element is an attractive solution that combines the advantage of improving soil mechanical behavior, with environmental concerns. Scrap tires are globally produced in increasingly large amounts, resulting in an urban solid waste, which requires a specific disposal policy. The reinforcement system with scrap tires is made of a layer of tires filled with soil and tied together with ropes. Compared to metal strips or geotextile sheets reinforcement techniques, this system provides a better adherence between the reinforcement and the soil. This paper presents the results of pull-out tests, performed with several arrangements of scrap tires, subjected to confining levels varying from 0,5 to 1.5 meters of soil surcharge. Most of the tests made use of tires with one sidewall removed. Considering the magnitude of the required loads, a permanent steel structure with a pull-out capacity to 500kN was constructed for the present testing program. The pull-out tests were performed with different geometric arrangements, which varied from a single scrap tire to a maximum of 18 tires.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score1.000

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)0.0010.001

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 head0.006
GPT teacher head0.220
Teacher spread0.214 · 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