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Record W2154080520 · doi:10.1260/1369-4332.16.3.559

Surrogate Function of Post-Tensioning Cable Forces for Cable-Stayed Bridges

2013· article· en· W2154080520 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.

Bibliographic record

VenueAdvances in Structural Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsWestern University
FundersMinistère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche
KeywordsPylonStructural engineeringDeckBridge (graph theory)Unit loadStructural loadEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Inclined stay cables in cable-stayed bridges are post-tensioned in order to counteract the effect of the deck dead load. The evaluation of the post-tensioning forces is tackled in previous literature using either of the iterative unit load method, the force equilibrium method, or by using optimization search methods. All of the above mentioned methods are computationally intensive which hamper their further use in an optimal design algorithm of the bridge. This paper presents a simple surrogate function that can be used to evaluate post-tensioning cable forces in semi-cable stayed bridge under the action of the dead load. The post-tensioning forces for several configurations of the semi-fan cable-stayed bridges are evaluated using genetic algorithms, and are approximated using a simple polynomial function. The developed surrogate functions are used to study the effect of the main span length of the bridge as well as of the pylon height on the distribution and magnitude of the post-tensioning cable forces.

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 score0.493
Threshold uncertainty score0.999

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 communication0.0000.001
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 head0.004
GPT teacher head0.206
Teacher spread0.202 · 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