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Record W3208658506 · doi:10.1080/13632469.2021.1991861

Effect of Multi-Story Brace Distribution on Seismic Performance of RC Tall Bridge Bents Retrofitted with Buckling Restrained Braces

2021· article· en· W3208658506 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

VenueJournal of Earthquake Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersJapan Society for the Promotion of Science
KeywordsStructural engineeringBraceBridge (graph theory)EngineeringBucklingDistribution (mathematics)Mathematics

Abstract

fetched live from OpenAlex

This study attempts to investigate the effect of the BRB distribution on the seismic performance of retrofitted multi-story RC tall bridge bents. Different BRB distributions were compared, from which the most efficient one was identified. The results showed that uniform distribution was not necessarily an efficient retrofit option. By controlling the same damage, using triangular cumulative distribution to design multi-story BRBs led to the least consumption of brace material. Alternatively speaking, with the same consumption of BRBs, the triangular cumulative distribution of braces was the most effective in controlling the damage of the tall bridge bents.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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