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Enregistrement W7161822261 · doi:10.82308/54220

Enhancing the stability of railroad ballast with geogrid reinforcement: an experimental and discrete element modeling study

2024· dissertation· en· W7161822261 sur OpenAlexaboutno aff
Romaric Desbrousses

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineEngineering
ThématiqueRailway Engineering and Dynamics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBallastGeogridTrack (disk drive)SubgradeTrack geometryUltimate tensile strengthGeotextileGeosynthetics

Résumé

récupéré en direct d'OpenAlex

Canada possesses an extensive rail network that is mainly supported by ballasted substructures in which a ballast layer lies immediately beneath the rail-tie assembly. The ballast layer performs multiple key functions in a track structure that include supporting the tracks, maintaining their alignment, and transferring train loads to the underlying soil layers. Due to its unbound nature, ballast undergoes substantial deformations when exposed to train loading that disturb the track alignment and compromise the track riding safety. Geogrids have recently emerged as a viable means to stabilize ballast and mitigate its deformations. A geogrid’s ability to reinforce ballast hinges on its interaction with ballast particles, which is a function of parameters such as the geogrid aperture size and location in the ballast layer as well as the subgrade strength that must be investigated. Additionally, geogrids tend to exhibit temperature-dependent mechanical properties. Considering that Canadian railroads tend to be exposed to significant seasonal temperature fluctuations, it is important to determine whether such changes impact the performance of geogrid-reinforced ballast.This thesis begins with an overview of the behavior of ballasted railroad tracks. The use of geogrids to stabilize ballast is then addressed and the various factors influencing the performance of geogrids in ballast are discussed. Chapter 3 then introduces an experimental campaign designed to assess the effect of temperature on the mechanical behavior of a large-aperture biaxial geogrid and a geogrid composite. Single-rib tensile tests are performed in a temperature-controlled environment on specimens of both materials at temperatures ranging from -30⁰C to 40⁰C. The tests reveal that both materials are sensitive to temperature and exhibit increasingly brittle responses as the temperature decreases below 20⁰C and ductile behaviors at elevated temperatures.In Chapter 4, a series of large-scale ballast box tests is conducted to investigate the effect of the geogrid placement depth and subgrade strength on the cyclic loading response of geogrid-reinforced ballast. In these experiments, 300mm-thick ballast layers are constructed over artificial subgrades with California Bearing Ratios of 25, 13, and 5 and are reinforced with a single geogrid layer located at depths of 150mm, 200mm, and 250mm beneath the tie. The results indicate that the geogrid placement depth wields a negligible impact on the response of geogrid-reinforced ballast supported by a strong subgrade. However, for softer subgrades, shallow placement depths enhance a geogrid’s ability to reinforce ballast, leading to smaller tie settlement and greater tie support stiffness.Finally, building on the observations drawn in Chapter 4, three-dimensional discrete element simulations of the ballast box tests are performed to delve into the micromechanical features of the ballast-geogrid interaction mechanism. The geogrid placement depth is first varied from 50mm to 250mm below the tie and the simulations reveal that geogrids located within the ballast layer’s upper 150mm are more effective at stabilizing ballast by virtue of being located within the volume of aggregate that displaces the most in response to cyclic loading. The geogrid aperture size ratio (A/D) is then varied from 1.09 to 2.91 while the geogrid stiffness is assigned values ranging from 9.54 to 18kN/m corresponding to the geogrid’s tensile strength at 2% strain at temperatures ranging from 40⁰C to -30⁰C as discussed in Chapter 3. An A/D ≥ 1.45 is required for a stable geogrid-ballast interlock to form, as lower ratios imply the geogrid aperture size is too small to allow ballast interlocking, leading to the formation of a preferential slippage plane along the geogrid’s interface. On the other hand, the range of stiffnesses considered in the simulations appears to wield a marginal effect on the behavior of geogrid-reinforced ballast

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil0,934

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,007
Tête enseignante GPT0,233
Écart entre enseignants0,226 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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