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Record W169785292

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

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

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2011
Typedissertation
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSlippingStructural engineeringBracingOpenSeesDamperSlip (aerodynamics)DissipationDiagonalEngineeringParametric statisticsBraceStiffnessBearing (navigation)Finite element methodComputer sciencePhysics
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.258
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2011
Admission routes1
Has abstractyes

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