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Record W2075431170 · doi:10.2495/dne-v9-n1-13-30

Design concept of a kinetic form-active hybrid envelope structure

2014· article· en· W2075431170 on OpenAlexvenueno aff
Marios C. Phocas, Odysseas Kontovourkis, N. Nicolaou

Bibliographic record

VenueInternational Journal of Design & Nature and Ecodynamics · 2014
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsEnvelope (radar)Kinetic energyEngineeringComputer scienceMathematicsPhysicsClassical mechanicsAerospace engineering

Abstract

fetched live from OpenAlex

In architecture and specifi cally in the design of structures, natural systems are of particular interest as far as their principle integral characteristic is concerned, that of a multi-layered, fi nely tuned and differentiated combination of their components, leading to an optimization and autonomous adaptability with regard to varying external conditions.At the same time, the development of contemporary adaptable lightweight structures takes place on the basis of tensegrity, scissor mechanisms or primary members with predominant bending deformability.Driven by the principle integral characteristic of natural systems, the design concept of a kinetic hybrid structure for a building membranes' envelope is presented in the current paper.The primary structure is composed of scissor compression and bending-active members interconnected in series through continuous tension-only members with closed circuit.The transformability of the system case example is presented in an initial confi guration and fi ve transformation states that correspond to respective transformation states of the membranes' envelope.The integral composition of the kinetic hybrid structure is described with its confi guration and parametric associative design.A preliminary investigation of the system's horizontal load-bearing behaviour throughout its transformation pathway follows a discussion on the motion planning of the structure.The latter builds on issues of the integrative development of the static and kinematic system, as well as minimization of external energy consumption for obtaining different operational confi guration states.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.005
GPT teacher head0.210
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations11
Published2014
Admission routes1
Has abstractyes

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Same venueInternational Journal of Design & Nature and EcodynamicsSame topicStructural Analysis and OptimizationFrench-language works237,207