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Record W2605912746 · doi:10.11159/icsenm17.130

Origami Applications in Structural Engineering: A Look at Temporary Shelters

2017· article· en· W2605912746 on OpenAlexaffvenue
Monica Norman, Kaveh Arjomandi

Bibliographic record

VenueProceedings of the World Congress on Civil, Structural, and Environmental Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsFinite element methodGlobeEngineeringBucklingStructural engineeringComputer scienceMechanical engineeringCivil engineeringConstruction engineering

Abstract

fetched live from OpenAlex

Origami is an ancient Japanese art that has been circling the globe for centuries. In past, it was used to create simple objects, however, more recent applications have been transitioning through mathematics to science and engineering. Inspirations from origami in the scientific community have led to developments in deploying structures in space, transporting medical devices through the human body, or creating easily foldable and portable shelters. This paper focuses on origami principles applied to structural engineering, in particular, temporary shelters for use in dire situations. Primary motivation comes from the need for sound temporary housing distributed within refugee camps. Three shelters with the following geometries were created: the Yoshimura (diamond) pattern in a tunnel shape, the diamond pattern in a dome shape, and a variation of the Miura-Ori pattern in a tunnel shape. Finite element models of the structures were developed using SAP2000; the models were simulated using Eigenvalue buckling analysis in addition to non-linear static analysis methods. Stress analysis results were used to design the shelters' panel thickness to be made from highdensity polyethylene (HDPE). In addition to the detailed analysis and design results, this paper provides a comparison study of the structural integrity of the three investigated folds. This can potentially benefit the development of lightweight, portable, and sound temporary shelters made use of in severe situations.

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 categoriesMeta-epidemiology (narrow)
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 score0.278
Threshold uncertainty score1.000

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 head0.005
GPT teacher head0.191
Teacher spread0.186 · 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.

Study designBench or experimental
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

Citations14
Published2017
Admission routes2
Has abstractyes

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