MétaCan
Menu
Back to cohort

Seismic Assessment of Existing Eccentrically Braced Frames According to NBCC and ASCE 41-13 Evaluation Procedures

2018· article· en· W2793288559 on OpenAlexaff
Sanda Koboevic, Guillaume Porthier de Bellefeuille, Pierre Etienne Maheu

Bibliographic record

VenueKey engineering materials · 2018
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsStructural engineeringEngineeringBeam (structure)Frame (networking)Seismic analysisResponse spectrumDeformation (meteorology)BendingGeotechnical engineeringMechanical engineeringGeology

Abstract

fetched live from OpenAlex

The seismic performance of an existing 8-storey EBF with shear-critical links located in Victoria, BC, is assessed. The frame is designed according to 1995 NBCC and the CSA S16-94 steel design standard. Seismic assessment is first performed in accordance with recommendations of the User’s Guide to NBCC 2015 using equivalent static force procedure, response spectrum analysis and linear time history analysis. A Tier 3 systematic evaluation according to ASCE 41-13 is then carried out using a linear static and dynamic procedure. Even though the original frame design was based on capacity design principles, both procedure revealed an inadequate strength of the frame members and the need for strengthening. Although the ASCE 41 procedure resulted in a less severe assessment, failures were predicted for most of the columns and for some outer beams. Considering bending as deformation-controlled action alleviated outer beam 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 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)0.001
metaresearch head score (Gemma)0.002
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 score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.290
Teacher spread0.271 · 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueKey engineering materialsSame topicSeismic Performance and AnalysisFrench-language works237,207