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Record W4372325890 · doi:10.5592/co/2crocee.2023.90

SEISMIC RETROFITTING OF POST-WWII MID-RISE UNREINFORCED MASONRY RESIDENTIAL BUILDINGS IN THE BALKANS

2023· article· en· W4372325890 on OpenAlexaff
Svetlana Brzev, Predrag Blagojević, Radovan Cvetković

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsUnreinforced masonry buildingRetrofittingMasonrySeismic retrofitEngineeringSeismic zoneCivil engineeringForensic engineeringReinforced concreteStructural engineeringInduced seismicity

Abstract

fetched live from OpenAlex

There is a significant building stock of the existing low- and mid-rise unreinforced masonry (URM) buildings constructed after World War II in Serbia and neighbouring countries. Numerous buildings of this typology collapsed in the devastating 1963 Skopje, North Macedonia earthquake, causing fatalities, injuries, and property losses, and experienced damage in a few recent earthquakes in the region, including the 2010 Kraljevo, Serbia earthquake and the 2020 Petrinja, Croatia earthquake. These buildings are 3- to 5-storey high, have URM walls and rigid reinforced concrete (RC) or semi-prefabricated concrete and masonry floor slabs, usually with a RC ring beam at each floor level. The paper will provide an overview of seismic retrofitting approaches for these buildings, starting from provisions of design codes which were previously followed in Serbia and former Yugoslavia as well as Eurocode 8 (Part 3). Conventional seismic retrofitting technologies based on RC wall overlays which were applied in past earthquakes, including the 2010 Kraljevo earthquake, will be presented and their advantages and disadvantages will be discussed. Finally, a case study of a building in Kraljevo which was damaged in the 2010 earthquake and subsequently retrofitted, will be presented, including the results of seismic analysis and design solution. The paper should be of interest to engineers and academics interested in seismic retrofitting of masonry buildings.

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 score0.194
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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

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