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Record W7064712364

Collapse Safety Assessment of Steel Multi-storey Buildings with Friction Sliding Braced Frames and Backup Moment Resisting Frames as a Dual System

2021· dissertation· en· W7064712364 on OpenAlexaboutno aff

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2021
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsOpenSeesBraced frameBracingDissipationFailure mode and effects analysisGirderSeismic analysisBucklingBase isolationNonlinear system
DOInot available

Abstract

fetched live from OpenAlex

In the early 1980’s, Concordia University’s library building saw the first application of cross-braced Pall friction dampers (PFD). Although PFDs have evolved and improved, including the friction material used, development of the design procedure has been limited. Using a recently proposed force-based design method and considering detailed computational and modeling techniques, three types of seismic force resisting systems are presented herein: the bare Friction Sliding Braced Frame (FSBF), Friction Sliding Braced Frame with Continuous Columns including gravity columns (FSBF-CC) and Dual FSBF system (D-FSBF). Installing backup MRFs in parallel with a primary FSBF can provide the structure with load path redundancy and elastic-frame action, while taking advantage of the large energy dissipation capacity of PFDs. \n \nThe objectives of this research are three-fold: 1) to develop an accurate nonlinear model for PFD that is capable of bearing and failure, 2) to quantify the ductility-related force modification factor, Rd, for the proposed seismic force resisting systems: bare FSBF, FSBF-CC, and D-FSBF and 3) assess fragility and collapse safety of low-rise and middle-rise buildings braced with the proposed seismic force resisting systems subjected to crustal and subduction ground motions. \n \nThese objectives are carried out using 2-D numerical models developed in OpenSees for 4- and 8-storey prototype buildings located on Site class C in Vancouver, B.C. A force-based design method was developed in line with NBCC 2015 and CSA/S16-14 standard requirements. Considering the similarity with buckling restrained braced frames (BRBF), design was conducted for RdRo=4 and RdRo=5. All buildings were subjected to short duration crustal and long duration subduction ground motions, and a discussion regarding the slip length demand of PFD was provided. \n \nFrom nonlinear response history analysis of 4 and 8-storey FSBF buildings (RdR0=4), it was found that the bare FSBF was structurally unstable and reached collapse prior to design level under the ground motion suites. Therefore, using the bare FSBF is not recommended. The 4-storey FSBF-CC building (RdR0=4) prevented collapse at design level, however experienced excessive residual drift, while the 8-storey FSBF-CC building reached collapse at design level under both crustal and subduction ground motions. Thus, the FSBF-CC system can be used only for low-rise buildings, but caution should be taken. \n \nUsing the Dual FSBF system composed of FSBF and a backup MRF, designed for an additional 25% base shear and two sets of RdR0 =4 and 5, it resulted that both 4-storey and 8-storey D-FSBF buildings showed sufficient margin of safety under both ground motion suites. Subsequently, when increasing the building height (e.g. the 8-storey building), the ductility-related force modification factor, Rd = 4 is recommended. The Dual FSBF system is recommended to brace low-rise and middle-rise buildings located in subduction zone, as Cascadia subduction zone, where megathrust earthquakes could occur.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.284
Teacher spread0.268 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2021
Admission routes1
Has abstractyes

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