MétaCan
Menu
Back to cohort
Record W2607493873 · doi:10.11159/icsenm17.131

Seismic Performance Evaluation of the Existing RC Frames Reinforced by Chevron Bracing System

2017· article· en· W2607493873 on OpenAlexvenueno aff
Keunyeong Oh, Heonjun Ha, Byeonghyun Jo, Kangmin Lee

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsnot available
FundersNational Research Foundation of KoreaMinistry of Science, ICT and Future PlanningNational Research Foundation
KeywordsChevron (anatomy)BracingReinforced concreteStructural engineeringGeologyEngineeringComputer scienceGeotechnical engineeringBrace

Abstract

fetched live from OpenAlex

Recently, a lot of earthquakes are occurring around the worlds.Though South Korea was classified with the low to moderate seismic region before, social disquiet is increasing by occurring with Gyeongju earthquake of a 5.8 magnitude.Therefore, the interest about seismic reinforcement of the existing structures is growing in Korea.Especially, seismic reinforcement of school structures built in 80s is essential for child's life and property.Although there are many seismic reinforcement methods, it is known for that chevron bracing system is the most effective.The chevron bracing system improves the seismic performance of existing structures by increasing the strength, stiffness, and ductile capacity.In case of chevron bracing system, the external appearance of reinforced structures is poor compared with other reinforced system.However, it is relatively excellent when compared the seismic performance, constructability, and economy of other reinforced systems.However, the seismic reinforcement design method of chevron bracing system was not systematized in Korea.Therefore, in this study, 1/2 scale experimental study was conducted to evaluate the seismic performance of existing structure reinforced by chevron bracing system, and to systematize the seismic reinforcement design method of existing structure through tests.The 1/2 scale specimens with 1 bay 1 story RC frames were fabricated by the 80s standard school drawing in Korea.Total 3 specimens were designed with standard school drawing and current structural codes, the base specimen indicated the existing structure of standard school drawing.Another specimen was reinforced by chevron bracing system with box member having 50mm cross-section to aim the enhancement 2 times stiffness of existing frames.The other specimen was designed to aim the enhancement 3 times stiffness of existing specimen reinforced by chevron bracing system having 100 mm of box cross-section.The cyclic test was conducted to evaluate the seismic performance of all specimens.As a result of experimental study, the stiffness of two specimens reinforced by chevron bracing system increased compared to existing frames without reinforcement.The stiffness of each reinforced specimens was increased to up to design goal.The ductile index of reinforced specimen with 50 mm box cross-section was increased 39% to compare existing frame specimen.Also, the ductility capacity of specimen reinforced by 100 mm box cross-section was increased about 50% compared to base specimen.The failure mechanism of reinforced specimens occurred in order of steel bracing yielding, steel bracing buckling and failure, and RC frames failure.For this reason, the strength and stiffness of specimens with steel chevron bracing system was increased.Generally, when the chevron bracing system was reinforced at existing RC frames, the strength and stiffness of reinforced frames was increased.However, the additional studies were needed for specific reinforcement method to satisfy target performance level.Later, the seismic reinforcement design method about chevron bracing system was reasonably and economically made based on these experimental results and additional studies.

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)0.001
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.209
Teacher spread0.199 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Civil, Structural, and Environmental EngineeringSame topicStructural Behavior of Reinforced ConcreteFrench-language works237,207