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Record W4380450787 · doi:10.52202/069179-0459

GLUED TIMBER TRUSSES

2023· article· en· W4380450787 on OpenAlexaboutno aff
Tuomo Poutanen, Markku Karjalainen, Valtteri Paananen, Jouko Tanskanen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicCivil and Structural Engineering Research
Canadian institutionsnot available
Fundersnot available
KeywordsTrussChord (peer-to-peer)Structural engineeringRoofEngineeringComputer science

Abstract

fetched live from OpenAlex

Current timber trusses are mainly made using steel fasteners, nail plates, or dowels with slotted plates. Glued timber trusses are applied commercially by two companies: German PERI produces trussed joists for concrete casting and Canadian Barret Structural makes trussed joists for residential floors. These trusses are based on finger joints made using a cursor. Recently, a Finnish company Teeri-Kolmio Oy started manufacturing glued trusses for residential floors with the joint processed using a saw blade. The such joint enables deep chord routings up to through the chord, long fingers, large web-chord glue areas, minimal timber splitting, and high resistance and reliability. There are further special characteristics. Top chord support is possible without hangers. The truss can be manufactured as a long billet, stored at lumberyards, and cut for actual needs. The truss can be manufactured without open routings and water pockets. The truss is strong and reliable and can be applied for the roofs of commercial buildings up to about 30 m spans. Our study shows that the trussed roof is more cost-effective than the glulam roof which opens a promising new business possibility.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.009

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 head0.009
GPT teacher head0.213
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

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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2023
Admission routes1
Has abstractyes

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