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Record W2025375543 · doi:10.1139/l08-010

Vulnérabilité sismique des constructions de type béton armé au Nord du Maroc

2008· article· fr· W2025375543 on OpenAlexvenueno aff
Mohammed Bezzazi, Abdellatif Khamlichi, José Ramón Arango González

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2008
Typearticle
Languagefr
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Dans ce travail, le concept de vulnérabilité sismique est utilisé afin de prédire le niveau moyen des dégâts pouvant se produire à grande échelle dans les bâtiments sous l’action d’une secousse sismique d’intensité connue. L’emploi de la notion de vulnérabilité est considéré dans le contexte de la typologie particulière des constructions en béton armé communément rencontrées au Nord du Maroc et n’ayant pas fait l’objet d’une conception parasismique assurant une protection adéquate. L’échelle de vulnérabilité est adaptée à partir de la méthode italienne dite « Gruppo Nazionale per la Difesa dai Terremoti » (GNDT), où un recalage des coefficients de pondération est effectué afin de mieux coller aux caractéristiques architecturales locales de ce type de constructions. Une corrélation est ensuite proposée entre l’indice des dégâts considéré comme l’effet principal recherché et les causes schématisées formellement à travers la notion de vulnérabilité. Les résultats d’une enquête menée sur le terrain après le fort tremblement de terre de magnitude 6,3 qui a frappé la région d’Al Hoceima au Nord du Maroc en 2004 ont montré que la méthode proposée permet d’évaluer correctement la vulnérabilité. Les courbes de fragilité relatives à cette typologie de bâtiments ont été enfin dressées.

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 categoriesMeta-epidemiology (narrow)
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 score0.394
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.179
Teacher spread0.169 · 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.

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

Citations6
Published2008
Admission routes1
Has abstractyes

Explore more

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