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Determinación de un elemento de volumen representativo de probetas de tablero tensado

2012· article· es· W2130925340 on OpenAlexaff
Daniela Sepúlveda, William Gacitúa, Cecilia Bustos, Peter Dechent, Alain Cloutier

Bibliographic record

VenueMaderas Ciencia y tecnología · 2012
Typearticle
Languagees
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

El objetivo de este estudio fue definir un elemento de volumen representativo para caracterizar las propiedades mecánicas de probetas de tableros tensados de Pinus radiata D. Don y de Eucalyptus nitens. La determinación del elemento de volumen representativo permitió identificar la sección más pequeña de las probetas que presenta las particularidades de este material compuesto y por consiguiente, representa a la probeta en su conjunto. Para esto, las propiedades nanomecánicas de las paredes celulares y lamela media fueron determinadas por nanoindentaciones. Este estudio se desarrolló en dos etapas. En la primera etapa, el anillo de crecimiento representativo de las piezas de madera bajo compresión perpendicular a la fibra, fue determinado. En la segunda etapa, el tablón representativo de la probeta de tablero tensado sometido a compresión a largo plazo, fue determinado. Los resultados de la primera etapa, mostraron que no existe una tendencia específica de las propiedades nanomecánicas a través de los anillos de crecimiento en la sección transversal de las piezas de Pinus radiata y Eucalyptus nitens bajo compresión perpendicular a la fibra. En la segunda etapa, se estableció que los esfuerzos de compresión a largo plazo en la probeta de tablero tensado principalmente afectaron las propiedades nanomecánicas de la estructura celular de los tablones exterior y central de la probeta. Lo anterior permitió establecer que el elemento de volumen representativo de una probeta de tablero tensado se localizó en la madera temprana del anillo de crecimiento más alejado a la médula en la sección transversal del tablón central. AbstractThe aim of this study was to define a representative volume element to characterize the mechanical properties of stress-laminated deck specimens of radiata pine and Eucalyptus nitens. The determination of the representative volume element allowed to identify the smallest representative section of the stress-laminated deck. For this, the nanomechanical properties of the cell walls and middle lamellas were determined by nanoindentations. This study was conducted in two phases. In the first phase, the growth ring representative of the pieces of wood under compression perpendicular to the grain was determined. In the second phase, the board representative of the stress-laminated deck specimens subjected to long-term compression loads and variable environmental conditions was determined. The results obtained in the first phase of the study showed that there was no specific tendency of the nanomechanical properties through growth rings in the cross-section of Pinus radiata and Eucalyptus nitens specimens subjected to compression loads perpendicular to the grain. In the second phase of the study, it was found that long-term compression loads in stress-laminated deck specimens mainly affect the mechanical properties of the cellular structure of exterior and central boards. Finally, the representative volume element in a stress-laminated deck specimen was found in the earlywood of the growth ring farthest to the pith in the cross section of the central board.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.248
Teacher spread0.232 · 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 designBench or experimental
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".

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Citations1
Published2012
Admission routes1
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