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Enregistrement W169785292

Numerical Simulations of Steel Frames Equipped with Friction-Damped Diagonal-Bracing Devices

2011· dissertation· en· W169785292 sur OpenAlexaboutno aff
Juan David Morales

Notice bibliographique

RevueSpectrum Research Repository (Concordia University) · 2011
Typedissertation
Langueen
DomaineEngineering
ThématiqueSeismic Performance and Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSlippingStructural engineeringBracingOpenSeesDamperSlip (aerodynamics)DissipationDiagonalEngineeringParametric statisticsBraceStiffnessBearing (navigation)Finite element methodComputer sciencePhysics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Among passive energy dissipation devices, friction dampers are used worldwide as means of increasing damping into structural building systems with the aim to reduce the seismic response. These devices, added either in-line with diagonal braces, or at the intersection zone of X- and chevron-bracing and installed in moment frame buildings, can reduce the demand of the primary frame system, the interstorey drift, and control the damage of non-structural components as building envelope. Regarding to their mechanical behavior, friction dampers dissipate energy through the relative sliding of plates clamped with post-tensioned bolts, while slipping occurs along the length of the slotted hole. This device reveals a rigid-plastic behavior defined by three phases such as: “stick-slip” before sliding occurs, “slipping”, and the “slip-lock” when the force in the device increases due to the bearing of the post-tensioned bolts. 
\nThus, the first part of this study is focused on establishing a computer model able to simulate the three-phase behavior of the friction damper installed in diagonal bracing by using OpenSees software framework. In light of this, the Bouc-Wen material characterized by smooth transition from elastic to plastic was calibrated through parametric study and employed to characterize the first two behavioural phases mainly controlled by the slip-force and available slip-distance. In addition, earlier experimental studies conducted by Pall (1979) were used to control the calibration. To simulate the slip-lock phase exhibited due to bearing of post-tensioned bolts, gap-elements were added in parallel to the Bouc-Wen model. In addition, to complete the friction-damped brace model, the action in series of the elastic brace and the friction damper model is considered.
\nThe second part of this study illustrates the behavior of the 4, 8 and 12-storey building designed as moderately ductile (MD) moment resisting frame structure accordingly to NBCC 2010 and CSA/S16-2009. The studied buildings are located in Montreal and are subjected to 15 simulated and historical ground motions scaled to match the uniform hazard spectrum. Herein, beams and columns were defined as nonlinear force-based beam column element with fiber section and Steel02 material. From analyses, the mean values of the following parameters: maximum interstorey drift, maximum drift angle and maximum beam rotation are computed.
\nThe third part is designated to analyze the seismic response of MD-MRF structures equipped with friction-damped brace devices through numerical simulations of 4-, 8- and 12-storey building, using OpenSees. It is showed that the proposed hysteresis model for friction-damped brace responds well under dynamic loading and it is able to tune the response within the prescribed limits. Driving devices into bearing shows transitional changes consisted of decreasing damping and increasing stiffness. When this phase is encountered, the MD-MRF might respond as a back-up system and as a re-centering system. It is revealed that the three-phase hysteresis model of friction damper developed in this study must be calibrated against experimental test results conducted under cyclic loading until failure is reached. Due to lack of experimental test results several assumptions were made.

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 candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,201
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,020
Tête enseignante GPT0,258
Écart entre enseignants0,238 · 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.

Devis d'étudeObservationnel
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

Citations6
Publié2011
Routes d'admission1
Résumé présentoui

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