Modelling dynamic ice-structure interaction based on high-pressure zones' behaviour at medium-scale
Notice bibliographique
Résumé
Although ice-induced vibrations (IIV) resulting from dynamic ice-structure interaction have been reported as infrequent occurrences in nature, the catastrophic consequences of these events makes them a fundamental design consideration for structures in ice-prone regions. Over the last 50 years, these events have affected a wide range of structures, including bottom founded lighthouses, channel markers, jacket and caisson retained structures, and have led to operational shutdowns, human discomfort, and even complete collapse of the structure in some cases. Rigorous experimental investigations and theoretical modeling approaches over the years have provided valuable insight into the physical mechanism of the process; however, a significant amount of uncertainty in identifying the conditions associated with IIV and its severity still exists. The primary source of the uncertainty comes from the complexity of the ice failure process, since it is highly influenced by the interplay of different competing mechanisms, such as fracture, damage and microstructural changes. One of the fundamental components of compressive ice failure is the development of ‘high-pressure zones (hpzs),’ which are responsible for transmitting the majority of the loads in ice-structure interactions. As the properties and dynamic behaviour of hpzs exhibit similar characteristics over a wide range of scales, efforts to link hpz mechanics with the occurrence of dynamic ice-structure interactions is seen as a promising approach. During ice-structure interaction, the ice failure process is highly influenced by different interaction parameters. An uncertainty analysis with self-excited vibration modeling approaches was performed first to identify the critical parameters and how their effects can propagate through the dynamic ice-structure interaction process. Based on the simulations, ice temperature, interaction speed, and interaction area were identified as the key parameters affecting the dynamic ice-structure interaction process. A medium-scale ice crushing dynamics test program was then carried out to study the influence of these parameters on the dynamics of hpzs under controlled conditions with variable structural compliance. In general, more severe dynamics associated with failure behaviour were observed to be more pronounced for colder ice, smaller interaction areas, higher interaction speed, and lower structural compliances. The observed dynamics of a single hpz was then used to develop a simplified ice-structure interaction model. The behaviour of the hpz was estimated using results from previous triaxial tests, which showed a non-linear relationship between hpz stiffness and the nominal strain, with the degree of softening depending on the average strain-rate. Two distinct failure processes were assessed in the context of the periodic sinusoidal response of the structure using the model. First, such responses can result from the vibration within the layer of damaged ice when the formation of the damaged layer and the extrusion process become cyclical in pure crushing. Theoretical calculation from a previous study was adopted to estimate the equilibrium layer thickness that can result in such vibrations, and the model showed reasonably good agreement with the calculations. The other failure process considered was for spall-dominated interactions with occasional crushing events. Such a failure process can result in frequency lock-in of the structure; however, these responses were observed to be highly sensitive to interaction speed and structural parameters. This was identified as the primary reason for the infrequent observation of frequency lock-in in full-scale interactions. Although the simplified modeling framework presented here shows promising results, further experimental investigation and modeling refinement are required for a full-scale implementation.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».