MétaCan
Menu
Back to cohort
Record W6904840821 · doi:10.14288/1.0435755

Seismic risk assessment of code-conforming reinforced concrete moment resisting frame buildings : consideration of unreinforced masonry infill wall and soil-structure interactions

2023· article· en· W6904840821 on OpenAlexaboutno aff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2023
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsInfillMasonryOpenSeesUnreinforced masonry buildingReinforced concreteVulnerability assessmentVulnerability (computing)Frame (networking)Shear wall

Abstract

fetched live from OpenAlex

The seismic vulnerability of reinforced concrete (RC) frames with unreinforced masonry (URM) infill walls has been a concern in areas with high seismic activity. The seismic response of this structural system is usually modelled in the form of global building analysis using simplified procedures without considering the aspects resulting from the response between the infill walls and the frame. Another factor usually ignored is the soil-structure interactions (SSI), which can considerably impact the actual structure's behaviour. Current design standards do not provide adequate instructions or transparent methodologies for assessing the risk of the infilled RC building systems with consideration of the SSI effect. This research aims to provide a conceptual framework and benchmark data for assessing building risk, particularly for code-conforming RC frames with URM infill walls incorporating SSI in Vancouver, British Columbia. The study starts by selecting a simple and reliable analytical model for the infill wall response. A systematic guideline was developed to evaluate various parameters to define the monotonic and hysteretic response of infill walls modelled by equivalent struts. Different strut formulations and hysteretic models have been analyzed in detail and used to reproduce several experimental tests available in the literature. The numerical analyses are performed using the OpenSees computer program. Subsequently, this study assesses the seismic risk of the three- and six-storey regular RC moment-resisting frame (MRF) building systems, with and without URM infill walls, representing low- to mid-rise structures through incremental dynamic analyses (IDA). These structures are designed per the National Building Code of Canada 2010 and detailed based on the 2014 Canadian Standards Association A23.3 standard provision for seismically active regions. Two different ductility classes of seismic building design, namely ductile and moderately ductile, are considered to identify the capability, equality, and/or difference in the seismic performance of these designed buildings. Finally, a parametric study was conducted to determine the performance of the building with the consideration of the SSI. The goal was pursued through a parametric study in which the structure type and shallow foundation embedment depth were varied. Overall, the study's findings suggest that bare RC frame buildings are prone to collapse during earthquakes as the number of stories increases. The presence of URM infill walls greatly affects the collapse behaviour of the frame structure. Ductile RC MRF buildings outperform moderately ductile RC MRF buildings in terms of collapse performance, with the capacity of the building system being a significant factor. Additionally, the results indicate that the SSI effect significantly impacts the structural performance and vulnerability, particularly for low-rise buildings with surface foundations. It was discovered that implementing a realistic model with a wide range of parameters in the analysis is evident and now practicable.

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 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 score0.232
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.189
Teacher spread0.183 · 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.

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)Same topicMasonry and Concrete Structural AnalysisFrench-language works237,207