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Record W4415763070 · doi:10.1002/pc.70596

Investigating the Mechanical Behavior of Embedded Bolt Structure in Wind Turbine Blades Through Subcomponent Test

2025· article· en· W4415763070 on OpenAlexaff
Jinghua Wang, Weisheng Liu, Leian Zhang, Zhengji Wang, Hao Zhou

Bibliographic record

VenuePolymer Composites · 2025
Typearticle
Languageen
FieldEngineering
TopicMechanical Behavior of Composites
Canadian institutions123 Certification (Canada)
Fundersnot available
KeywordsPultrusionFinite element methodUltimate tensile strengthFibre-reinforced plasticAdhesiveTurbine bladeStress (linguistics)Shear (geology)Shear strength (soil)

Abstract

fetched live from OpenAlex

ABSTRACT Root failure is one of the critical failure modes of wind turbine blades. This paper investigates the mechanical behavior of the embedded bolt structure (EBS) in wind turbine blades under tensile force through subcomponent tests. The specimens were subjected to ultimate static and fatigue loads using a specially designed rig for the subcomponent test. At the same time, a finite element model of the EBS was developed to predict the test results and analyze the failure process. The finite element simulation showed good agreement with the test results. The simulation and test results indicate that the debonding of the interface between the glass fiber bundle, the pultruded GFRP, and the GFRP laminate leads to the failure of the EBS. Under different stress amplitudes, the specimens exhibited the same failure mode. The shear strength of the adhesive determines the ultimate and fatigue tensile strength of the EBS. Improving the diameter of the bolt sleeve and the shear strength of the adhesive can enhance the EBS to better mechanical properties.

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 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 categoriesMeta-epidemiology (narrow)
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 score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.249
Teacher spread0.237 · 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 teacher head, not a consensus.

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

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