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Record W2004353659 · doi:10.5539/mas.v8n3p147

Analysis and Research on Deformation Monitoring of Large Span Cable-stayed Bridge during Operating Period

2014· article· en· W2004353659 on OpenAlexvenueno aff
Jun Cheng, Cheng Zhang, Zengshun Chen, Jun Yang

Bibliographic record

VenueModern Applied Science · 2014
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsStructural engineeringTowerBridge (graph theory)Span (engineering)PierDisplacement (psychology)Deformation (meteorology)Finite element methodOffset (computer science)Vertical displacementBeam bridgeGeologyComputer scienceEngineering

Abstract

fetched live from OpenAlex

This paper studies the alignment of bridge, the vertical displacement of the pier, the offset of the tower, the deformation of the expansion joints and cable force based on an extra large span cable-stayed bridge in Chongqing. Secondly, the contents and methods of large span cable-stayed bridge monitoring were introduced. Then, the theoretical value related to deformation of the bridge is calculated by using finite element software. After that, the bridge deformation data on the site was measured. Finally, the bridge alignment, tower vertical displacement, tower deformation, expansion joints, tower of the measured values and the theoretical calculation values were analyzed on the basis of comparison. It is concluded that the bridge is in normal working condition. The analysis and research of large span bridge in this paper provides the basis for similar Bridges, which has good practical value.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.290
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2014
Admission routes1
Has abstractyes

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