Experimental and Numerical Study on Bolted/Bonded Composite Joints for Aircraft
Notice bibliographique
Résumé
Bolted and bonded joining technologies in composite structures have been widely studied since the 1970s. Although every technology has advantages and disadvantages, bonded joint technology has the potential to reduce the weight and manufacturing cost of advanced aircraft structures. However, bolted joining is still generally required for certification and regulatory compliance. An alternative to these technologies is the use of hybrid bolted/bonded joints combining elements from both technologies. When compared with bolted and bonded technology in composite structures, hybrid joining technology is at an early stage of development, very few journal papers have been written on this topic as of the time of this writing. Previously reported research efforts have been focused on the load sharing and strength improvement. The load sharing has been analyzed experimentally using instrumented bolts and numerically using finite element modelling. The strength analysis has been studied experimentally. The present research was proposed to study hybrid bolted/bonded joints experimentally using a “design of experiments” approach. The aim was to investigate the effect of several factors on the joint strength and load sharing in bolted/bonded hybrid joints. In addition to this, finite element modelling was successfully applied to predict the load sharing and strength, and the results were compared with the experiments with good agreement. The instrumented bolt technique is limited due to the bolt size. To surpass this limitation with the proposed design of experiments, a different approach was needed. Along with the design of experiments and numerical analysis, a novel technique using digital image correlation to measure the shear strains at the adhesive edge was applied to measure the load sharing. Also, the load sharing was computed in all the joint configurations, not only a single sample joint configuration, as was typically reported in other studies. The numerical results in terms load sharing showed a very good agreement with the experiments. On the other hand, using cohesive zone modelling, the strength was predicted with a good agreement compared with the experimental results. Finally, the analysis of variance from the design of experiments quantified the effect of the proposed factors in the joint strength.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».