MétaCan
Menu
Back to cohort
Record W2326278953 · doi:10.1061/41130(369)118

A Simple Approach for Performance Evaluation of Structures in Fire

2010· article· en· W2326278953 on OpenAlex

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

VenueStructures Congress 2010 · 2010
Typearticle
Languageen
FieldEngineering
TopicFire effects on concrete materials
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSimple (philosophy)Column (typography)Computer scienceStructural engineeringSoftwareDeformation (meteorology)Fire resistanceEngineeringMaterials scienceProgramming language

Abstract

fetched live from OpenAlex

A simple performance-based test technique was developed for the fire resistance assessment of columns. In this method, the column specimen is tested using a conventional column furnace while it is coupled with a simple analytical model. The simplified model simulates the remainder of the building. The components of interaction between the column specimen and the analytical model are deformations and loads. The new test approach includes the axial load-deformation interaction components. In other words, the axial load of the column specimen is varied according to the structural system response. The simple approach was employed for different building frames and the results were compared and verified with those obtained from an analysis using the SAFIR computer software. This paper provides the theoretical concept and formulation of the simple hybrid test approach. Before putting the model in practice, it will be further verified through a future experimental program.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.258
Teacher spread0.244 · 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