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Enregistrement W7106255101 · doi:10.20381/ruor-31540

Dynamic Response and Design of Steel Structures Subjected to Pedestrian-Induced Loads

2025· dissertation· en· W7106255101 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Ottawa - Library · 2025
Typedissertation
Langueen
DomaineEngineering
ThématiqueStructural Engineering and Vibration Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésServiceability (structure)Limit state designNatural frequencyParametric statisticsVibrationFinite element methodBucklingLimit (mathematics)

Résumé

récupéré en direct d'OpenAlex

The present thesis investigates the dynamic performance of steel members under the effect of pedestrian induced dynamic forces. Towards this objective, the study adopts two main methodologies: (a) controlling the member natural frequencies to mitigate possible resonance phenomena under human-induced dynamic forces and (b) controlling acceleration levels induced in members to ensure they fall below acceptable perception levels. While present design Canadian and American structural steel design provisions do not offer explicit natural frequency requirements, they limit member slenderness to 200 for compression members and 300 for tension members. These limits partly control the natural frequency but omit the influence of axial load level, and neither fully capture the effect to cross-sectional asymmetry, as may be the case in angle members, nor fully account for member end-connection details. Within this context, the present research presents four contributions towards advancing the state of the art related to the analysis and design of steel members under human activities. The first contribution examines the natural vibration response of axially loaded members with wide-flange sections. A parametric study is conducted using closed-form analytical solutions and shell finite element modelling. The study characterizes the effect of axial loads on the member natural frequencies and proposes slenderness limit thresholds based on target natural frequencies that capture the axial load level. In this respect, this part of the study develops an improved serviceability criterion than simply satisfying member slenderness requirements in the present standards. The second contribution extends the investigation to members with angle cross-sections, which are prone to torsional–flexural coupling owing to cross-sectional asymmetry, an aspect not addressed in the first contribution. A closed-form solution is developed to determine the torsional flexural natural frequency of pin-ended members with equal leg angles. The analytical model is complemented with shell finite element modelling to tackle more general cases involving unequal leg angles and members with gusset plate end connections. A subsequent parametric investigates the effect of axial force, cross-sectional geometry, member span, and boundary conditions on the natural frequency of angle members. The findings show that satisfying present slenderness criteria does not guarantee consistent natural frequencies across members with angle cross-sections and flags the need to develop more elaborate criteria to control excessive vibrations. The third contribution formulates a general thin-walled beam finite element formulation for the natural vibration analysis of steel members. The solution captures torsional-flexural coupling induced by cross-sectional asymmetry, and the effects of axial loading, warping, and rotary inertia. The formulation is equipped with a feature that enables the seamless modelling of the boundary conditions of gusset-plate ended connections, in which the member is considered fixed about the axis normal to the gusset but nearly pinned about the gusset axis, both axes being non-principal. The findings reveal that gusset plate end connections significantly elevate the natural frequency of the member, when compared to pinned-ended members. A simplified energy-based solution is also developed to estimate the natural frequency of members with gusset-end connections, and a dimensionless design chart is provided to streamline the calculation procedure in a design environment. While the previous three contributions centre around quantifying the natural frequency of steel members, the final contribution transitions to the full transient response evaluation under the time- dependent loading is induced by human walking. Towards this objective, a general purpose thin-walled beam finite element formulation is developed for the fully dynamic analysis of thin-walled beams. In addition to capturing the effects of coupling induced by cross-sectional asymmetry, axial loading, warping, and rotary inertia, the formulation incorporates the effect of damping and develops the energy equivalent force vector that characterizes the temporal and spatial distributions of forces induced by human walking. The discretized equations of motion are then solved using the Newmark time integration scheme, and the predictions of the model are validated against benchmark solutions. A parametric study explores the effects of axial force magnitude, damping model, damping ratio, boundary conditions, and characteristics of the walking function on the member acceleration response. The results are benchmarked against established human comfort thresholds. The model thus provides a basis to assess the dynamic performance of steel members against established acceleration thresholds. In summary, the present thesis advances methods of dynamic analysis of steel members. By integrating analytical solutions, energy-based approximate methods, and finite element modelling techniques, the study offers a possible framework for the analysis and design of steel members under the effect of dynamic loads induced by pedestrian-induced loads.

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: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,490
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
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 GPT0,192
Écart entre enseignants0,185 · 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'étudeExpérimental (laboratoire)
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
Publié2025
Routes d'admission1
Résumé présentoui

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