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Record W2158399286 · doi:10.1002/stco.201110014

Design of floor structures against human‐induced vibrations

2011· article· en· W2158399286 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSteel Construction · 2011
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsRed Deer Polytechnic
Fundersnot available
KeywordsScope (computer science)ModalEngineeringSimple (philosophy)VibrationStructural engineeringPedestrianCivil engineeringComputer scienceArchitectural engineeringAcousticsMaterials science

Abstract

fetched live from OpenAlex

Abstract A simple method for designing floor structures against humaninduced vibrations is presented in a joint JRC‐ECCS publication, which was developed from two major European research projects supported by the Research Fund for Coal and Steel (RFCS). The simple method is appropriate for floors where the response is dominated by the first eigenmode being excited by walking. This paper presents a general design method that was also developed within the scope of these RFCS projects and is based on a modal superposition approach. The method has a wider range of application as it may be applied to any floor type and, in addition to walking, other human activities can be readily included. The general design methodology has been successfully used in the UK since 2004 on a variety of steel‐framed floors, which have included office, hospital, residential and dance floors.

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.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score0.577

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 head0.037
GPT teacher head0.224
Teacher spread0.187 · 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