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Record W7033643995

Seismic design criteria for CFS steel-sheathed shear walls

2019· article· en· W7033643995 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutial research information system (Parthenope University of Naples) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionLiquationDiafiltrationTSG101Gestational periodHyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

The current European earthquake standard EN1998-1 does not provide the seismic design criteria for cold formed steel (CFS) steel-sheathed shear walls, limiting their use as a lateral force resisting system in lightweight steel buildings. In order to overcome this lack of guidelines, a specific study has been performed to extend the applicability of the Effective Strip Method (ESM), given in North American standard AISI S400 to EN1998-1. The method evaluates the shear resistance of steel-sheathed shear walls and it is permitted only in USA & Mexico as an alternative to tabulated shear resistance for predefined wall configurations. In order to further validate its scope of application, it was applied to additional available experimental results of walls tested in Canada. Only for some configurations, the ESM does not give acceptable predictions. Furthermore, the ESM was applied following the European approach, to make its use possible in context of European seismic design methodology. The overstrength factor for the design of non-dissipative elements was evaluated. Based on the results, it is concluded that the ESM could be appropriate for the evaluation of resistance of steel-sheathed shear walls in Eurocodes.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.128
GPT teacher head0.291
Teacher spread0.163 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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Same venueCINECA IRIS Institutial research information system (Parthenope University of Naples)Same topicCultural Heritage Materials AnalysisFrench-language works237,207