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Record W4415292568 · doi:10.2749/ghent.2025.1230

Design and Optimization of Cast Steel Brackets to Connect Supplemental Viscous Damping and Special Moment Resisting Frames

2025· article· W4415292568 on OpenAlex
Michael Gray, Vartkes Davidian

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

VenueReport · 2025
Typearticle
Language
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsOnex (Canada)
Fundersnot available
KeywordsBracketMoment (physics)Connection (principal bundle)Context (archaeology)Finite element methodDamper

Abstract

fetched live from OpenAlex

<p>The UCSF Health Hellen Diller Hospital is a new 15 storey hospital planned in San Francisco. The lateral system is a Special Moment Resisting Frame (SMRF) with supplemental viscous damping. This unique lateral force resisting system created a difficult connection detail in connecting the high precision pin connections of the dampers and braces in the damping system with the structural steel of the moment frame. The project’s design team determined that custom designed cast steel brackets would provide the most economical means of connecting the damping system to the SMRF connections, while also improving constructability. This paper introduces the bracket designs and provides context on the project. The method defining optimal bracket groupings based on geometry and loading requirements is presented. General design approach, including non-linear finite element analysis, and topology optimization of the bracket designs to minimize their weight is presented in detail.</p>

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.265
Teacher spread0.251 · 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