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Connections for Timber–Concrete Hybrid Building: Experimental and Numerical Model Results

2016· article· en· W2292399308 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

VenueJournal of Performance of Constructed Facilities · 2016
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsStructural engineeringDissipationConnection (principal bundle)Frame (networking)StiffnessBeam (structure)EngineeringDuctility (Earth science)Finite element methodMonotonic functionMathematicsMaterials scienceMechanical engineeringCreep

Abstract

fetched live from OpenAlex

In seismically active regions, the use of timber–reinforced concrete (RC) hybrid construction can overcome the structural limitations that occur with timber construction. This paper investigates three connections used in the timber frame–RC core hybrid system: (1) RC wall-timber beam connection, (2) timber column-base connection, and (3) timber beam-timber column connection. A series of monotonic and reverse-cyclic loading tests were conducted on three replicate connections. Salient features of each connection (i.e., stiffness, ductility, and energy dissipation) were computed from the monotonic loading test results and were used to set the backbone curve of the analytical Pinching4 hysteretic model. Furthermore, the Pinching4 hysteretic models were calibrated with the reverse-cyclic loading test results. Utility of the Pinching4 hysteretic models was shown with performance prediction of a portal frame test. The portal frame results showed good agreement between the finite element model using the calibrated Pinching4 hysteretic models and experimental test results.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.405

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 head0.010
GPT teacher head0.214
Teacher spread0.204 · 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