PRECAST CONCRETE BRIDGE SUBSTRUCTURES: FROM SERVICE PERFORMANCE TO SEISMIC RESILIENCE
Notice bibliographique
Résumé
Highway bridges in Canada are rapidly aging and deteriorating due to various environmental factors, resulting in a significant backlog in repair and replacement. To support and advance accelerated bridge construction, this dissertation tackles the multifaceted challenges faced by precast bridge elements and systems (PBES) under both service and extreme load conditions. It focuses on two distinct PBES substructures: emulative piers, which replicate the behavior of cast-in-place structures, and non-emulative piers, which use controlled rocking to minimize damage. The goal is to develop resilient PBES substructures that not only withstand seismic forces but also adapt to evolving environmental and transportation demands. The research begins with a seismic risk assessment of conventional cast-in-place highway bridges in a designated case study area, incorporating the compounded effects of chloride-induced corrosion and climate change. This analysis reveals varying degrees of progressive earthquake-induced damage across regions over time, emphasizing the critical need for PBES to address the growing risks and maintenance challenges associated with seismic and environmental deterioration. With this critical need for PBES established, the thesis then focuses on the seismic design of PBES substructures. For emulative piers, finite element analyses validated against experimental data led to the development of a strut-and-tie model for precast column-to-pile shaft assemblies. This model, which predicts force transfer and strain distributions, was used in a parametric study that indicates that enhancing the transverse reinforcement ratio is particularly effective in preventing prying-action failure in pile shaft foundations. Subsequent experimental investigations demonstrated that employing ultra-high-performance concrete (UHPC) in pile shafts not only prevents prying-action damage but also reduces the required dimensions and reinforcement by 13.3% and 25%, respectively, without compromising overall seismic performance. For non-emulative piers, the thesis presents seismic design approaches for post-tensioned (PT) rocking piers. The study develops explicit analytical equations for viscous dampers and genetic programming-derived models for ED bars, and validates these design frameworks through nonlinear response history analyses, achieving displacement demand predictions within acceptable margins. Addressing serviceability concerns under disruptive transportation technologies—specifically automated truck platooning—the thesis develops a reliability analysis framework to evaluate its impact on PBES substructures. By incorporating dynamic vehicle-bridge interaction and soil-structure uncertainties, the framework identifies critical thresholds for platoon operation parameters to prevent excessive axial loads and settlement. The contributions of this thesis include quantifying the impacts of climate change and corrosion on elevated seismic damage risks, developing innovative seismic design approaches and tools, experimentally validating UHPC-enhanced designs, and performing reliability analyses to characterize the effects of truck platooning on service performance. These contributions to PBES can address the critical need for rapid bridge construction and replacement while ensuring infrastructure remains resilient in the face of intensified environmental stresses and evolving transportation technologies.
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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| 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 ».