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Record W7133026154

Optimization of Origami Inspired Static and Active Mechanical Metamaterial

2019· dissertation· W7133026154 on OpenAlexfundno aff
Mohamed Ali E. Kshad

Bibliographic record

VenueTSpace · 2019
Typedissertation
Language
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Bureau for International Education
KeywordsDNA origamiMaterial propertiesFolding (DSP implementation)MetamaterialCore (optical fiber)Material efficiency
DOInot available

Abstract

fetched live from OpenAlex

Origami-inspired materials provide effective solutions to control the mechanical properties of sandwich core structures, due to their outstanding structural features and due to the unique capacity of elastic deformation of its elements that are able to fold and unfold at different scales during the loading process. Both the geometrical features and the properties of the parent material that used to produce the origami structures are the most important factors required for tailoring the designed origami core with the target application. To eliminate the fracture and the abrupt stress change in the designed origami core elements, it is important to consider the parent material properties and behavior. There are two important challenges that should be considered in designing origami cores, the geometrical features of the origami tessellation and the material used to produce the origami unit cells and cores. Three dimensional origami cores can be fabricated by folding two dimensional flat sheets into three dimensional cores, or by pre-folding the origami features using a molding process. This research is devoted to investigate pre-folded origami cores made of polymeric materials for damping applications. Both passive and active properties of the designed unit cells were investigated in this research. Two different origami patterns were considered in the research, Miura and Ron-Resch-like origami structures. Different material blends were used to fabricate pre-folded origami features and correlate with the mechanical properties of the fabricated cores. Another way of preparing pre-folded origami cores is by using fused deposition modeling, in which different Ron-Resch-like cores with different geometrical parameters were designed and characterized for compression and impact load absorption. The designed origami cores were numerically simulated and compared with the experimental results. This motivated to include the viscoelastic behavior of the polymeric parent material at elevated temperature and simulate the cores’ unit cell using periodic boundary condition; the actual skeleton of the origami unit cell structure was represented in order to capture the mechanical behavior.

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 score0.105
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.285
Teacher spread0.273 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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