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Record W2160641321 · doi:10.3141/1736-11

Long-Span Deep-Corrugated Structural Plate Arches with Encased-Concrete Composite Ribs

2000· article· en· W2160641321 on OpenAlexafffundabout
Timothy D. Morrison

Bibliographic record

VenueTransportation Research Record Journal of the Transportation Research Board · 2000
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsAtlantic Industries (Canada)
FundersU.S. Army Corps of EngineersPublic Works and Government Services CanadaGovernment of Canada
KeywordsArchStructural engineeringSpan (engineering)CulvertFinite element methodEngineeringGeotechnical engineeringFoundation (evidence)ReinforcementLaw

Abstract

fetched live from OpenAlex

The design and construction of two long-span reinforced deep-corrugated structural plate arch culverts are described. The arch structures have maximum spans of 23.3 and 19.0 m. They were constructed on the Alaska Highway in northern British Columbia, Canada, during the fall of 1998. The 23.3-m-span arch is the largest of its kind in the world. Both structures are intermittently reinforced using a system of encased-concrete stiffeners. This system employs concrete pumped into the cavities formed by opposing deep-corrugated steel plates fitted with shear studs. The reinforcement for the 19.0-m structure was terminated at a location above the springline of the arch. The reinforcement for the 23.3-m-span arch extended to the top of the foundation. The arches were designed in accordance with the provisions of the Ontario Highway Bridge Design Code and the new Canadian Highway Bridge Design Code for Buried Structures. They were also reviewed using a nonlinear frame analysis (Structural Optimization Design and Analysis, or SODA) and a finite-element analysis (Nonlinear Soil-Structure Interaction Program, or NLSSIP). The deflected shapes of the two arches were monitored by instruments in the field during the construction and backfilling operation. The design results and field-measured deflections are evaluated.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.027
GPT teacher head0.291
Teacher spread0.264 · 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

Citations14
Published2000
Admission routes3
Has abstractyes

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