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Record W608535412

Wearing Surfaces: An Experimental Study for an Orthotropic Steel Deck

2012· article· en· W608535412 on OpenAlexaboutno aff
J. Leroy Hulsey, Wilhelm Muench, Zachary Jerla, George Imbsen

Bibliographic record

VenueTransportation Research Board 91st Annual MeetingTransportation Research Board · 2012
Typearticle
Languageen
FieldEngineering
TopicMechanical stress and fatigue analysis
Canadian institutionsnot available
Fundersnot available
KeywordsDeckOrthotropic materialTruckSnowDurabilityCrackingAbrasion (mechanical)SlabEnvironmental scienceStructural engineeringGeotechnical engineeringForensic engineeringMaterials scienceGeologyComposite materialEngineering
DOInot available

Abstract

fetched live from OpenAlex

A lightweight, durable, and traction-resistant material is needed as a replacement for an existing two-layer timber wearing surface. The surface to be replaced is 30 ft (9.2 m) wide and is attached to an orthotropic closed-cell steel deck. The orthotropic steel deck is supported by two steel box girders that are 61 in. (155.9 cm) wide by 163 in. (414 cm) deep. The bridge is 2295 ft (699.5 m) long with six spans. The structure crosses the Yukon River at a 6% grade on the Dalton Highway, a gravel road about 50 mi (80 km) north of Fairbanks, Alaska. This structure is expected to support the oil pipeline, a future gas line, heavily loaded trucks and respond favorably to mild summers and harsh winters. Air temperature extremes are -58°F (-50°C) to 100°F (40°C). A 5 in. (127 mm) two-layer timber wearing surface was installed in 1976. The top layer was replaced in 1981, 1993, 1999, and 2007. Both layers were replaced in 1993 and 2007. Because of excessive costs, the Alaska Department of Transportation is seeking alternatives. Thermal cracking, abrasion, durability, flexural strain, traction, weight, and a secure fastening method to the steel deck are important in selecting a replacement surfacing material. The driving surface may be dry, wet, icy, snow-covered or some combination. During the winter, the driving surface is subjected to snow plow removal and because of the steep grade, trucks typically cross using tire chains. Several alternate wearing surfaces were laboratory tested for structural durability, traction, and resistance to tire chains. In addition to laboratory test results, field performance for several experimental wearing surfaces was evaluated. Laboratory test results are presented and each wearing surface is ranked for structural integrity, traction, resistance to chain damage, and field performance. Cobra X (no longer available) would likely provide more than a 15-year satisfactory service life. All other wearing surfaces tested in this study including the existing timber wearing surface are an unsatisfactory choice.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.126
GPT teacher head0.406
Teacher spread0.280 · 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
Published2012
Admission routes1
Has abstractyes

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