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Record W7047602493

Impact simulation of bird strike on semi-spherical transparencies: application to observation bubbles in the C-295 aircraft

2015· dissertation· en· W7047602493 on OpenAlexaboutno aff

Bibliographic record

Venuee-Archivo (Carlos III University of Madrid) · 2015
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsHullTransparency (behavior)PopulationCollisionBubbleComputer simulation
DOInot available

Abstract

fetched live from OpenAlex

Conflicts between birds and aircraft have increased in the last years since traffic volume and bird population have spread. Although it seems an
\ninsignificant event,up to 2009, EASA sets in 242 fatalities and 90 hull losses because of these incidents and this is why Canadian customers are concerned
\nby this increment and have demanded a specific certification for the spotter windows bubbles of C-295 aircraft. This concern has motivated the aim of this
\nresearch promoted by Airbus Defence and Space. The purpose of this research is the numerical simulation of bird impact on semi-spherical transparencies similar to observation bubbles in the C-295 aircraft in order to obtain a rst approach of the structural behaviour under this fact.
\nThe study is divided into three stages: - Firstly, the characterization of the bird is performed against rigid 
\nat metallic targets. Experimental data coming from CRAVHI project and analytical interpretation based on Willbeck's theory have been used to validate the results.
\n- Secondly, the characterization of the transparency is achieved, and although the lack of experimental results complicated the labour, some researches and analytical results have been used to find a suitable model.Two analyses on 
\nat transparencies have been carried out in parallel, a monolithic transparency and a laminated model (similar to
\nspotter windows and cabin windshields respectively).
\n- Finally, the semi-spherical bubble has been modelled. The explicit numerical simulation code \\Visual Environment", formerly PAM-CRASH, has been used for the simulation of these impacts.
\nThe results show the high dependence of acrylic materials on strain rates and the need to take it into consideration in the modelization of the finite element model.
\nMoreover, the results expressed in terms of ballistic limits show that the current spotter window monolithic design would not fail in case of a bird striking
\nthe bubble until speeds about 50 m/s, making the advantages of laminated model (in terms of weight reduction and limit speed increment) of interest for further works.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.287
Teacher spread0.265 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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