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Record W2080132740 · doi:10.3141/2186-16

Post–Soil Interactions on Guardrails near the Crown of a Slope

2010· article· en· W2080132740 on OpenAlexaff
Joanès Dorcély, E. McKyes

Bibliographic record

VenueTransportation Research Record Journal of the Transportation Research Board · 2010
Typearticle
Languageen
FieldEngineering
TopicTransportation Safety and Impact Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsGeotechnical engineeringLeveeHorizontal and verticalCrown (dentistry)GeologySteep slopeEnvironmental scienceMaterials scienceGeodesy

Abstract

fetched live from OpenAlex

Most highway departments are very concerned with the adequacy of highway guardrails. A common problem is a narrow road shoulder of 1.5 m to 0.5 m, or even less, combined with steep side slopes and a high embankment beside the road. Although numerous studies have measured the strength of different types of guardrail posts in various soils, a theoretical model does not exist that could be used to predict soil resistance to post movement. Such a theoretical model was constructed for level ground as well as close to an embankment slope. A mechanical model of a narrow vertical object moving soil with a level surface was modified to account for a ground slope that lies within the area of influence of soil failure. The model predicts that at any distance from a slope, the resistance of a post can be increased by installing it to a greater depth. Also, when soil adjacent to a post is compacted heavily, it results in approximately a fourfold increase in horizontal resistance compared with a lightly compacted soil. A rough surface post, such as concrete, gives almost double the horizontal resistance of a smooth surface post of the same dimensions. Using a post of 400 mm width rather than 100 mm results in a horizontal soil resistance force of only approximately 20% to 30%, for a post far away from or very close to the crown of a slope of 1 vertical/2 horizontal.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.004
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 head0.047
GPT teacher head0.356
Teacher spread0.309 · 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.

Study designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

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