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Record W2938959648 · doi:10.2749/vancouver.2017.3183

Application of Performance Based Design to Highway and Transit Structures

2017· article· en· W2938959648 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReport · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsBridge (graph theory)Computer scienceParametric statisticsConceptual designDisplacement (psychology)Design methodsSimple (philosophy)Transit (satellite)LimitingStructural engineeringEngineeringTransport engineeringPublic transportMechanical engineeringMathematics

Abstract

fetched live from OpenAlex

<p>The latest Canadian Highway Bridge Design Code, S6-14, now requires Performance Based Design (PBD) for certain bridges. For engineers comfortable with the previous force based design approach, PBD appears to require additional, and more complicated non-linear analysis, to satisfy multiple performance objectives. A review of a displacement based design approach indicates that simple, existing tools can be used to implement PBD for a majority of highway bridges and transit structures. A parametric study is used to demonstrate that the minimal damage performance level will generally govern; thus the other levels only need to be verified after initial conceptual design is completed. The study also indicates that different strain limits can lead to different column designs for the same performance level.</p>

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score0.193

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)0.0000.000

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 head0.012
GPT teacher head0.230
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