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Record W2579899667

STR-966: SEISMIC RETROFIT OF EXISTING LOW-RISE STEEL BUILDINGS IN EASTERN CANADA USING ROCKING BRACED FRAME SYSTEM

2016· article· en· W2579899667 on OpenAlexfundaboutno aff
Robert Tremblay, Paul Mottier, Colin A. Rogers

Bibliographic record

VenueScholarship@Western (Western University) · 2016
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
FundersFonds de recherche du Québec – Nature et technologies
KeywordsBraced frameFrame (networking)Steel frameSeismic retrofitHigh riseGeologyStructural engineeringEngineeringForensic engineeringReinforced concreteTelecommunications
DOInot available

Abstract

fetched live from OpenAlex

A promising retrofit strategy consists of allowing deficient braced frames to rock at their bases to reduce the force demands on the structure and the foundation. For low-rise buildings, modifications to the structure may be limited to the braced frames, which then represent a very effective solution when compared to other approaches where alterations are needed along the entire lateral load path. In the article, the rocking braced frame solution is investigated for the seismic retrofit of 3-storey typical office buildings designed in accordance with codes prevailing in the early 1980s. The frames are located in Montreal, QC, and firm ground and soft soil conditions are examined for both locations. Rocking braced frames with friction energy dissipation mechanism are investigated. The response of the retrofitted structures is examined through nonlinear time history analyses using site representative ground motions and the results are compared to predictions from simplified models assuming first mode response.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.058
GPT teacher head0.269
Teacher spread0.211 · 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.

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
Published2016
Admission routes2
Has abstractyes

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