Thermo-Hydro-Mechanical simulations of Artificial Ground Freezing
Notice bibliographique
Résumé
Hundreds of thousands of people in Alaska, Canada, Russia, and Greenland live on permafrost,\nwhich covers nearly 24% of the northern hemisphere (National Snow and IceData Center, 2018).\nLiving conditions can be challenged by the fragile nature of the frozen ground, especially if framed in the context of global warming. Indeed, permafrost effects like frost heave and thaw settlement may heavily affect existing buildings and transportation infrastructures such as roads, railways, embankments, and runways. These being vital for isolated Arctic communities, should be preserved and maintained. Artificial Ground Freezing (AGF) can be employed to keep soil frozen and hence ensure structure stability by means of one-way heat pipe systems, also called thermosyphons. Such devices have been widely used in China where permafrost degradation of the Tibet plateau posed severe threats to the normal functioning of the Qinghai-Tibet railway (Mu et al., 2016b). Also, Greenlandic infrastructure system is facing the same problems. The airport and many buildings in the settlement of Kangerlussuaq are for example threatened by the shifting thermal regime of the underneath soil and are in need of maintenance. Artificial ground freezing is also used nowadays as a valuable and efficient construction method for underground engineering projects in densely urbanized areas, due to the enhanced soil strength and decreased permeability it provides. This technique allows forming earth support systems covering a variety of geotechnical problems such as structural underpinning for foundation improvement, tunnel constructions and temporary control of groundwater flow in construction processes. A good example is the construction of Naples underground in Italy, where artificial ground freezing has been successfully applied. Thus, it seems clear that the interest in frozen ground engineering, whether soil freezing is induced by natural conditions or by human activities,\nhas rapidly developed over the last decades and it is expected to continue growing.\nTo predict the coupled thermo-hydro-mechanical (THM) behavior of frozen soil and to provide\na reliable design tool for geotechnical engineers, the development of a numerical modeling\napproach is necessary. To this purpose, Ghoreishian Amiri et al. (2016b) developed a new\nconstitutive THM model able to capture different behaviors of frozen soil and predict mechanical response under different loading conditions and variations of temperature. This model will be used in this MSc thesis to replicate monitoring results of a large-scale artificial ground freezing project, that is the construction of platform tunnels in Naples Underground. This aims to further validate the robustness and the correct theoretical implementation of the model when applied to more advanced case studies.
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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| 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) | 0,013 | 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 ».