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Record W2567809176

ISSN 8755-6839 SCIENCE OF TSUNAMI HAZARDS Journal of Tsunami Society International Number 2 2013 IMPACT OF TSUNAMI FORCES ON STRUCTURES The University of Ottawa Experience

2013· article· en· W2567809176 on OpenAlexaboutno aff
Andrew Cornett, Taofiq Al-Faesly, Ioan Nistor, Dan Palermo

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2013
Typearticle
Languageen
FieldEngineering
TopicEarthquake and Tsunami Effects
Canadian institutionsnot available
Fundersnot available
KeywordsTsunami waveNatural hazardGeographySeismologyGeologyOceanography
DOInot available

Abstract

fetched live from OpenAlex

Over the past seven years, a comprehensive interdisciplinary research program has been conducted between researchers at the University of Ottawa and at the Canadian Hydraulics Centre (CHC) of the National Research Council of Canada. The objectives of this on-going research program are to identify and quantify forces that are imposed on near-shoreline structures when exposed to tsunami- induced hydraulic bores and to investigate mitigation strategies to dampen these forces. The experimental component of this research program involves two structural models (square and circular) that are tested in the High Discharge Flume at CHC. The structural models are instrumented to record base shear force-, base overturning moment-, pressure-, acceleration-, lateral displacement- and bore depth-time histories continually during testing. Impact loading resulting from wood debris of different sizes and located at pre-determined distances from the structural models is also studied. Furthermore, this research program aims to review tsunami-induced forces on structures prescribed by recent design documents.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.003
Open science0.0040.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.058
GPT teacher head0.455
Teacher spread0.398 · 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 designObservational
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

Citations5
Published2013
Admission routes1
Has abstractyes

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