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Record W4407182613 · doi:10.1080/13632469.2025.2458597

Retrofit Strategies Using Braces for Pre-Northridge Steel Moment-Frame Buildings: An Analytical Study

2025· article· en· W4407182613 on OpenAlex
Arnar Bjorn Bjornsson, Swaminathan Krishnan

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 · 2025
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsNordic Life Science Pipeline (Canada)
FundersU.S. Geological Survey
KeywordsSteel frameStructural engineeringMoment (physics)Frame (networking)EngineeringForensic engineeringComputer scienceArchitectural engineeringPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

This paper focuses on retrofitting strategies for tall pre-Northridge steel moment-frame buildings with vulnerable beam-to-column moment connections. Ten retrofit schemes of a 20-story building, originally designed according to the 1994 UBC, are developed in accordance with ASCE-41 by upgrading the brittle beam-to-column moment-resisting connections, or adding conventional/buckling-restrained brace elements to the existing moment-frame bays. Using nonlinear pushover and time-history analyses under near-source ground motion records from past earthquakes and synthetic ground motion records from three large-magnitude scenario earthquakes, the retrofit schemes are compared against the baseline model. While the baseline model is a total loss in 1331 of the 4014 scenario earthquake analysis cases, the worst of the braced retrofit schemes experiences a total loss in fewer than a third of these cases (426), clearly demonstrating the effectiveness of adding braces.

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 score0.122
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

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 communication0.0000.001
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 head0.016
GPT teacher head0.289
Teacher spread0.273 · 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