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Record W4235143755 · doi:10.32920/ryerson.14655426

Seismic behavior and retrofitting of reinforced concrete moment resistant frames

2021· preprint· en· W4235143755 on OpenAlexaboutno aff
Shahram Talebi

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
Fundersnot available
KeywordsStructural engineeringRetrofittingDuctility (Earth science)Frame (networking)Reinforced concreteGeotechnical engineeringSeismic loadingCrackingGeologySeismic retrofitFibre-reinforced plasticEngineeringMaterials scienceCreepComposite material

Abstract

fetched live from OpenAlex

Many multistory reinforced concrete frame structures built prior to 1970's located in seismic zones have been designed only for gravity loads without any considerations for lateral loads. These structures are referred to as Gravity Load Designed (GLD) frames. The lack of seismic considerations in GLD structures results in non-ductile behavior that may cause the lateral load resistance of these buildings to be insufficient for even moderate earthquakes. Based on the current Canadian practice as prescribed by CAN3-A23.3 1994, reinforced concrete structures located in seismic zones should be designed as ductile or nominally ductile frames. In this study, a typical 5-story frame building is designed as (a) ductile, (b) nominally ductile and (c) GLD frame. Analytical investigation is performed to evaluate and to compare the performance of each frame. The study includes "pushover" analysis and non-linear time-history analysis. The results in terms of story displacement, ductility, shear, drift, sequence of cracking and yielding and the damage potential are presented. As a result of the poor performance of the GLD frame, it is retrofitted with fiber-reinforced polymers (FRP). Different retrofitting schemes using FRP are used to compare the behavior in terms of ductility. In this study, the behavior of the retrofitted frame is compared with the that of the GLD frame. Based on the results of this study, a guideline for improving the seismic performance of reinforced concrete frame structures is provided.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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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