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Research on the Working Performance of Dowel Bar during Horizontal Installation Errors

2012· article· en· W2093092953 on OpenAlexaff
Peng Peng, Bo Tian, Kai Min Niu

Bibliographic record

VenueApplied Mechanics and Materials · 2012
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Maintenance and Monitoring
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsDowelBar (unit)Structural engineeringBendingJoint (building)EngineeringTransfer (computing)CrackingMaterials scienceComputer scienceGeologyComposite material

Abstract

fetched live from OpenAlex

Through the pullout test on dowel bar of different surface treatment modes and position deviation, the paper draws the conclusion that the plastic spraying treatment in different surface treatment modes can maximum meet the setting requirements of dowel bar, and the angular deviation of the dowel bar is the main reason for the cracking within the 50 centimeters of both sides of cement concrete pavement joint; Through the bending fatigue test, the paper evaluates the attenuation law of joint load transfer capacity under different horizontal installation error conditions(0°, 5°, 10° and 15°), and find that with the increase of dowel bar deviation angle, the initial joint load transfer capacity presents a rapid downward trend, and the performance of whole working period become worse and worse, when the angular deviation of dowel bar in the horizontal plane is not more than 5°, juncture load transfer capacity can still remain the medium level, which will not have too much influence on the working performance of dowel bar. Finally, the paper presents the looseness of dowel bar after 800,000 times of bending fatigue, and puts forward the control measures to avoid position deviation of dowel bar.

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)0.001
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 score0.218
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.023
GPT teacher head0.240
Teacher spread0.217 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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