MétaCan
Menu
Back to cohort
Record W7117459612 · doi:10.1080/13287982.2025.2595778

Eccentric braced frames: seismic response and design challenges

2025· article· en· W7117459612 on OpenAlexaff
Maryam Hasanali, Ali A. Rad, Nandor Mago, G. Charles Clifton, Károly Jármai, Kaveh Andisheh

Bibliographic record

VenueAustralian Journal of Structural Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsEccentricBraced frameSeismic analysisBraceFinite element method

Abstract

fetched live from OpenAlex

Eccentrically Braced Frames (EBFs) are widely used to resist lateral forces, leveraging ductile design principles to reduce seismic demands. However, the current New Zealand Steel Structures Standard (NZS 3404) provides limited guidance for computing deformation demands, overlooking variability of inelastic behaviour along the frame height and potentially leading to inaccurate seismic performance assessments. The provisions also disregard the contribution of post-yield stiffness by adopting an elastic–perfectly plastic link response, which can underestimate the load-carrying capacity of EBF systems. This study evaluates the seismic performance of multi-storey EBFs through nonlinear pushover analyses of an eight-storey case study, developed using an experimentally validated finite element model. Predictions from design provisions and an alternative analytical method are benchmarked against the nonlinear results, focusing on displacement profiles, storey drift demands, link rotations, and the influence of base rotational stiffness, post-yield stiffness, and shear link length. The findings show that while standard methods provide acceptable accuracy in the elastic range, they fail to capture redistribution of plastic demands in the nonlinear regime. The results also demonstrate that parameters such as base rotational restraint and strain-hardening can significantly influence the seismic response of EBF systems, highlighting the need for advanced design methodologies to provide more accurate seismic design.

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 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 score0.086
Threshold uncertainty score0.677

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 head0.015
GPT teacher head0.233
Teacher spread0.218 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueAustralian Journal of Structural EngineeringSame topicSeismic Performance and AnalysisFrench-language works237,207