Consistent ice-crushing physics at small and large scales: from ice skating to ice-induced vibration of structures
Notice bibliographique
Résumé
Observations from in-situ video records acquired during laboratory ice-crushing experiments and medium-scale ice-indentation field tests exhibit remarkable consistency. Spalling of ice away from the contact zone produces a sawtooth pattern in the load records and the majority of the actual movement of the indentor into the ice occurs during the sharp drops in load associated with the spalls. At least half of the load is borne on relatively-intact ice (hard zones) where the interface pressure, from calculations using load data and measured hard-zone areas and from pressure sensors, is in the range 20 -70 MPa. The visual data show how spalling determines the evolution of hard-zone size and shape during the tests. A thin slurry layer of melt (~ 16%) and ice particles (~84%) produced at the hard-zone interface areas has been observed in the laboratory tests and its thickness (< 0.2 mm) determined. Similarly, significant quantities of melt/slurry produced in medium-scale indentation tests have also been documented. These observations are consistent with a process of heat generation, and consequent melt production, caused by rapid viscous flow of the thin slurry layer at the hard-zone interface. Additionally, recent analysis of data from earlier lab tests has identified a mechanism to explain how tiny ice particles from the hard-zone interface get into the slurry, to comprise the majority of its bulk. The data from in situ high-speed imaging records of ice crushing, and from records of rapid adiabatic hydraulic pressurization of ice samples in a pressure vessel, suggest that small Tyndall melt figures, produced by frequent and sharp pressure spikes during ice crushing, create a thin weakened layer at the hard-zone interface surface. The ambient flow of slurry at the interface could shear off particles from the weakened surface layer that become entrained in the slurry. The melt-production process, and the erosion/entrainment of hard-zone ice particles by the slurry layer, could account for the rapid removal of hard-zone material from the crushing interface. The integrity of the above understandings has been demonstrated in a few cases. In one instance, the understandings, particularly with respect to ice-spalling behavior, provided a comprehensive explanation of large-scale ice-induced vibration of structures, and furthermore led to a technology (known as ‘Blade-Runners’) for mitigating the phenomenon. In a second instance, remarkable aspects of ice-crushing friction have been shown to stem from essentially the same ice-crushing physics noted above, and the slurry layer has further been shown to be highly lubricating. For example, data from recent experiments of a mock ice-skating blade have shown that crushing that occurs when the blade is sliding laterally on an ice surface, as happens when a skater applies a pushing stride to accelerate or when the skater is quickly stopping, produces regular tiny spallation events at the ice/blade interface that result in a sawtooth load pattern. Additionally, the high lubricity of the slurry layer beneath the blade during lateral sliding and also when gliding forward, where crushing on asperities and crushing due to ploughing/gouging occurs, largely accounts for the low friction force that is necessary for ice skating.
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 | 0,000 |
| 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) | 0,001 | 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 ».