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Record W4412754662 · doi:10.11159/iccste25.317

Experimental Study on Shear Performance of Poplar LVL Beams with Opening in Bending-Shear Region

2025· article· en· W4412754662 on OpenAlexvenueno aff
Anlian Wang, Yan Liu, Ashraf Ashour

Bibliographic record

VenueProceedings of the International Conference on Civil, Structural and Transportation Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsnot available
FundersYangzhou UniversityNational Natural Science Foundation of China
KeywordsShear (geology)Materials scienceComposite materialBendingLaminated veneer lumberStructural engineeringShear strength (soil)EngineeringGeologyVeneer

Abstract

fetched live from OpenAlex

To investigate the shear performance of Italian poplar laminated veneer lumber (LVL) beams with opening in the bendingshear region, six standard specimens were designed and tested under four-point bending.The shear failure mechanisms of the LVL beams with opening under various parameters were analyzed.The results show that the unperforated beam experiences bending failure due to tensile cracking at the mid-span.In contrast, beams with circular opening experience longitudinal shear failure at the ends due to stress concentration around the opening perimeter.The maximum transverse tensile strain around the opening perimeter forms an angle of approximately 45° or 225° relative to the longitudinal axis of beam, consistent with the crack initiation angle.As the diameter-to-height ratio increases to 0.5, both cracking and ultimate load capacities of the beams with circular opening significantly decrease, exhibiting more brittle shear failure.When the diameter-to-height ratio increases from 0.3 to 0.4 and 0. 5, the ratio of cracking to ultimate load capacity increases from 0.79 to 0.80 and 0.81, respectively.Using carbon fiber reinforced polymer (CFRP) wrapping around the openings effectively suppresses crack propagation and enhance the structural performance of the perforated beams.For the beam with a diameterto-height ratio of 0.4, the ultimately load decreases by 17.9% and 5.22%, respectively, for one and two layers of CFRP wrapping, compared to the unperforated beam.

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)0.000
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
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)0.0020.000

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 head0.232
Teacher spread0.216 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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