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Record W7116892249 · doi:10.1061/jsendh.steng-15416

Viscoelastically Enhanced Buckling Restrained Braces for P-Delta Cancellation and Reduced Residual Drifts

2025· article· en· W7116892249 on OpenAlexaffabout
Bashar Hariri, Chiyun Zhong, Michael W. Montgomery, Constantin Christopoulos

Bibliographic record

VenueJournal of Structural Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsOffice of the Chief Medical ExaminerOntario College of Art and DesignUniversity of Toronto
Fundersnot available
KeywordsBraceViscoelasticityDamperResidualStiffnessBracingBuckling

Abstract

fetched live from OpenAlex

An innovative viscoelastic buckling-restrained brace (VE-BRB) is proposed as an enhancement to conventional buckling-restrained braces (BRBs). This brace mitigates P-delta effects, introduces a recentering capability, and provides enhanced inherent damping, thus enhancing the seismic performance of tall steel buildings in high-seismic regions, especially under subduction interface seismic events. The VE-BRB enhances a conventional BRB with viscoelastic dampers mounted directly on the BRB restrainer, functioning in parallel with the BRB core element. The viscoelastic dampers are designed with sufficient elastic stiffness to counteract P-delta effects and induce recentering without the need to amplify story design forces using the code-prescribed stability coefficients. The proposed brace is described in detail, including design equations tailored for multistory steel buildings. To evaluate its effectiveness, the braces were implemented as seismic-force resisting systems in 10- and 20-story prototype buildings located in Vancouver, BC. These buildings were compared with conventional BRB frames designed with amplified design story shear forces using the inelastic stability coefficient, as prescribed in the Canadian Building Code. Nonlinear response history analyses were conducted using seismic records from crustal, in-slab, and subduction interface sources. The VE-BRB system demonstrated superior performance compared with conventional counterparts, achieving more-uniform drift distributions along the building heights and controlling residual drifts within repairable limits. Detailed finite-element (FE) models were developed to validate the proposed design assumptions at the brace component level, including restrainers, connections, bolts, and gusset plates. Conventional BRB models were calibrated against past cyclic test data, followed by models incorporating the viscoelastic dampers. Full-scale FE models of the 6th and 10th stories of the 10- and 20-story VE-BRB frames were subjected to quasi-static cyclic pushover analyses, because these floors correspond to available matching calibration experimental test data. The results confirmed the adequacy of the proposed design assumptions and demonstrate robust and stable performance of the VE-BRB system under extreme drift demands.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.226
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), 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 routes2
Has abstractyes

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