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Record W2083665840 · doi:10.3141/2050-05

Evaluating Suspension Bridge Cables on North America's Busiest International Crossing

2008· article· en· W2083665840 on OpenAlexaboutno aff
Paul D. Blasko, Michael J. Borzok, John M. Kulicki

Bibliographic record

VenueTransportation Research Record Journal of the Transportation Research Board · 2008
Typearticle
Languageen
FieldEngineering
TopicMechanical stress and fatigue analysis
Canadian institutionsnot available
FundersLehigh University
KeywordsStructural engineeringBridge (graph theory)EngineeringDuctility (Earth science)TrussGalvanizationBrittlenessSpan (engineering)Precast concreteUltimate tensile strengthSuspension (topology)Forensic engineeringMaterials scienceComposite materialCreepMathematics

Abstract

fetched live from OpenAlex

The main cables of the Ambassador Bridge—carrying four lanes of traffic over the Detroit River between Detroit, Michigan, and Windsor, Ontario, Canada—have recently been inspected internally for the first time, after 78 years of service. The bridge has a suspended main span of 1,850 ft, with back spans consisting of trusses supported on steel bents. The main cables comprise 37 strands of 218 wires each, protected with red lead paste. The wires are No. 6 gauge, cold drawn and double galvanized, with a specified minimum tensile strength of 215 ksi. Cable strength was calculated by means of the procedures of NCHRP Report 534: Guidelines for Inspection and Strength Evaluation of Suspension Bridge Parallel Wire Cables. Four locations were inspected along the length of each cable, and wire samples removed for testing. All three models presented in NCHRP Report 534 were used to estimate cable strength: the simplified strength model, the brittle wire model, and the limited ductility model. Modifications to the NCHRP procedure were required for the unloaded backstay locations. The results of the evaluation showed the cables to be in very good condition, with a calculated factor of safety of 2.70, which was based on the limited ductility model. The reduction in strength from the as-built condition was less than 10% at the worst location.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.190
GPT teacher head0.410
Teacher spread0.220 · 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 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
Published2008
Admission routes1
Has abstractyes

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