Numerical Simulations of Ice Interaction with a Moored Structure
Notice bibliographique
Résumé
Abstract The paper describes a numerical model of floating ice interaction with a moored structure. The model is based on solving the equations for conservation of mass and momentum together with the constitutive equations for the ice cover, as well as the equations of motion of the moored structure. The ice cover is considered to follow a cohesive Mohr-Coulomb yield criterion with a tension cut-off. The structure is treated as a rigid body supported by a linear spring that can move in the horizontal plane. Vertical movements are neglected. A depth averaged version of the ice model is used, whereby stresses and velocities are averaged over the depth. The model accounts for variations of ice thickness and clearing around the structure, but not clearing under the structure. The simulations addressed cases resembling conditions of the Kulluk deployment in the Beaufort Sea during the 1980s. The data of the Kulluk was examined in order to determine the stiffness of the mooring system. Simulations produced distributions of ice concentration, thickness and pressures, and forces on the structure, as well as the resulting velocities and displacements of the structure. The resulting forces increased with increasing ice thickness and with increasing ice velocity. The predicted forces show good agreement with measured peak forces. The role of the mooring stiffness was also examined. The mooring system causes a moderate reduction of forces below those obtained for a fixed structure. A relatively low stiffness was shown to reduce the transient forces. The forces eventually rise to approach those for stiffer mooring as ice continues to impinge on the structure. Introduction The performance of moored drilling ships in ice is of significant current interest. Safe and efficient operation of such vessels requires reliable knowledge of the magnitude of ice forces, and the resulting displacements. However, the interaction between a moored vessel/structure and ice remains poorly understood. Predicting ice forces, even on fixed structures, involves many complexities and uncertainties. The mooring system introduces more substantial complexties and uncertainties. Field observations, though, are available from the deployment of the moored Kulluk structure at a number of sites in the Beaufort Sea during the 1980s. Wright (1999) gave a comprehensive analysis of the available Kulluk data and experience learned during its deployment. He provides the best available information on the behavior of moored structures in ice. The report of Wright (1999) includes estimates of the forces and the corresponding ice and environmental conditions. Ice basin tests of the dynamic hehavior of the Kulluk were also carried out by Matsuishi and Ettema (1985), and by Nixon and Ettema (1988). Comfort et al (1999) reviewed those studies along with other ice basin tests of moored structures. That review indicates that the ice basin tests give some insights into the manner in which compliance of the structure (or mooring system) may affect ice forces. There are many issues with scaling and interpretation, and even conflicting measurements that make it difficult to develop predictive tools that can apply to new structures or to full scale conditions. The renewed interest in the subject prompted several recent investigations. Asknes et al (2008) and Bonnemaire et al (2008) carried out ice basin tests of moored structures. Asknes also developed a semi-empirical method (2010a) and (2010b) based on the ice basin results. That method can be incorporated in probabilistic models. Asknes also developed a one dimensional model based on an idealized ice failure scenario. These recent models and tests provide insight into the role that the mooring system plays in ice-vessel interaction. For example, it is evident that a soft mooring system is likely to reduce ice forces. The drawback in that case is the relatively large displacements of the structure.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 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 ».