Modelling Tubular Braided Composites Using Geometrical, Micro-Computed Tomography and Finite Element Analysis Methods
Notice bibliographique
Résumé
This thesis investigates various modelling approaches for two-dimensional Tubular Braided Composite (TBC) structures. Because of TBCs' flexible nature, modelling them properly is challenging and usually involves some assumptions. However, having an accurate modelling procedure would help researchers and industries obtain more accurate simulation results before manufacturing or using TBCs. In this research, the gap in the modelling of TBCs will be addressed. Some equations are available in the literature to generate geometrical models of TBCs. However, the intricate nature of the equations involved makes creating accurate geometrical models challenging. This research introduces a user-friendly and open-source software, TBC-Gen, which streamlines the modelling process, eliminating the need for extensive knowledge of the underlying equations. Moreover, some modifications have been applied to the equations to enhance the precision of TBC simulations. Comparative analyses are conducted between TBC-Gen outputs, results from other software, and physical TBC samples to investigate the accuracy of the TBC-Gen results. Micro-computed tomography (µCT) proves to be a precise method for scanning TBCs. This study employs µCT to scan various TBCs with different patterns, dimensions, and materials. Different image processing techniques have been developed to extract essential parameters (minor and major yarn and mandrel diameter, center point, orientation, and cross-sectional area of yarns) from the scanned models. Also, an innovative segmentation and splitting algorithm is implemented for overlapping yarns. Subsequently, two yarns from the scanned TBCs are extracted, and their paths are plotted. A simulated yarn path is fitted to the extracted path, and a new parameter is introduced to the geometrical model to enhance the fitness of the yarn paths. The error between the fitted geometrical model and the segmented yarn path is less than 1%. The TBC-Gen program is then utilized to design different geometrical models, and Finite Element Simulations (FEM) are developed to analyze their behaviour under tensile tests. Periodic Boundary Conditions (PBC) are applied to optimize computational efficiency. The impact of braid angle on TBC displacement during tensile testing is investigated by simulating seven models with similar geometries but varying braid angles (30°-70°). Additionally, three TBCs with similar geometries but different patterns are simulated, and their displacements are reported. The result shows that the displacement of simulated TBCs increases as the braid angle increases. Also, the Hercules pattern shows the most displacement and the Diamond pattern shows the least displacement under a similar tensile test. The FEM results are further validated by simulating the setup of an experimental test and comparing the outcomes against both experimental and Classical Laminate Plate Theory (CLPT) results. The FEM results are closer than the CLPT results to the experimental results. This comprehensive research not only advances TBC modelling methodologies but also validates their accuracy through a combination of advanced imaging techniques, innovative algorithms, and rigorous simulations, contributing valuable insights to the field of composite materials. The TBC-Gen program developed in this study can help other researchers and industries generate geometrical models without a deep understanding of the details of the equations. It can also be used for educational and visualization purposes.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».