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Record W4248146187 · doi:10.32920/ryerson.14666409.v1

Membrane structures - an introduction and manual for the design process of membrane structures

2021· preprint· en· W4248146187 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

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicStructural Analysis and Optimization
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEleganceProcess (computing)Finite element methodMembrane structureMembraneDesign processWork (physics)Computer scienceElement (criminal law)SimplicityProcess designMechanical engineeringStructural engineeringEngineeringEngineering drawingWork in processChemistryPhysicsProgramming language

Abstract

fetched live from OpenAlex

Membrane structures are are an unfrequently used architectural design element in the modern society due to their simplicity and elegance. However, these structures require often in their design process the usage of complicated numerical finite element softwares because of their non-linear behavior. Written calculations can only be used for the preliminary determination of the required pretensioning, but not for the whole design process, which includes several different loading cases. Therefore, this work with the title Membrane Structures - An Introduction and Manual for the Design-Process of Membrane Structures intends to develop a possible way of determining stresses in a membrane structure caused by additional loadings.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.393
Threshold uncertainty score0.802

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 head0.015
GPT teacher head0.254
Teacher spread0.239 · 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

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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