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Record W2515957735 · doi:10.1177/0954410016665647

Effects of lay-up sequence in thick composite tubes for helicopter landing gears

2016· article· en· W2515957735 on OpenAlex
Hamidreza Yazdani Sarvestani, Mehdi Hojjati

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

VenueProceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsConcordia University
Fundersnot available
KeywordsComposite numberFinite element methodBendingStructural engineeringSimple (philosophy)Bending momentWork (physics)Materials scienceEngineeringMechanical engineeringComposite material

Abstract

fetched live from OpenAlex

Analysis and design of composite helicopter landing gears are challenges. Cross tubes of helicopter landing gears consist of straight tubes at the middle and curved tubes at the sides. In this work, to simulate ground handling, thick laminated composite straight tubes subjected to pure bending moments are studied using a new high-order simple-input analytical method. The accuracy of the proposed method is subsequently verified by comparing the numerical results obtained using the proposed method with finite element method and experimental data. The results show good agreement. High efficiency in terms of computational time is achieved when the proposed method is used as compared with finite element method. In addition, a simple non-dimensional coefficient is proposed to predict interlaminar radial stresses of thick composite straight tubes.

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)0.001
metaresearch head score (Gemma)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.015
GPT teacher head0.238
Teacher spread0.223 · 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