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Record W1509544024

On the simplifications used in mobility models to predict structureborne power flow in wood stud walls with direct-attached gypsum board

2003· article· en· W1509544024 on OpenAlexaffvenue
T.R.T. Nightingale, Katrin Kohler

Bibliographic record

VenueNPARC · 2003
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsGypsumStructural engineeringEngineeringFlow (mathematics)Power (physics)Geotechnical engineeringMechanicsMaterials scienceComposite materialPhysics
DOInot available

Abstract

fetched live from OpenAlex

The mobility approach is a comparatively simple method to compute structure borne power flow between plates and beams coupled at one, or more, well defined points. Implicit to these expressions are a number of assumptions. Simplifications are also made when modelling wood stud wall systems. Using ordinary point force mobilities Craik and Smith [1] predicted with good accuracy the structural power flow across a wood stud wall with direct-attached gypsum board on both sides when the screws on either side of the stud were aligned. This type of alignment cannot be assumed if the wall has resilient channels. Thus it is necessary to evaluate the mobility assumptions to determine the most appropriate method to model walls with resilient channels. In this paper, the first of two, assumptions regarding the vibration response of the stud and gypsum board in isolation are evaluated. The second paper [2] examines the power flow from the stud to the gypsum board as a function of number and location of the screws. The paper begins with a brief review of the mobility expressions.

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 score0.037
Threshold uncertainty score0.513

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 head0.014
GPT teacher head0.218
Teacher spread0.204 · 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
Published2003
Admission routes2
Has abstractyes

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