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Record W2184186401 · doi:10.11113/aej.v3.15396

STRENGTHENING OF STEEL AND CONCRETE COMPOSITE TRUSSES BY UNBONDED EXTERNAL PRESTRESSING

2012· article· en· W2184186401 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

VenueASEAN Engineering Journal · 2012
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis and Optimization
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsTrussComposite numberStructural engineeringMaterials scienceComposite materialEngineering

Abstract

fetched live from OpenAlex

In this paper, the method of strengthening of steel and concrete composite trusses by using unbonded external prestressing was presented. Based on the experimental results compared with the analytical calculations, the structures are believed to perform better than the conventional composite trusses. The additional unbonded mono-strand external prestressing tendon of 7.9% of the tension bottom chord cross sectional area results in the 20% higher load carrying capacity. Moreover, there is the advantage of the additional prestressing to improve the accuracy of the flexural stiffness determination by using the transformed section method for the truss-like structural system. However, to maintain the ductile failure mode, the amount of the strengthening tendon should be limited for the required rotational capacity. In conclusion, this method can be useful in the upgrading of the existing composite trusses for both the flexural strength and serviceability.

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: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.500

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 head0.004
GPT teacher head0.184
Teacher spread0.179 · 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