MétaCan
Menu
Back to cohort
Record W4389540807 · doi:10.17118/11143/21158

Energy dissipative bio-inspired rotating square auxetics for buildingapplications

2023· article· en· W4389540807 on OpenAlexaff
Fereshteh Hassani, Zia Javanbakht, Thomas Froese, Sardar Malek

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsUniversity of Victoria
FundersGriffith University
KeywordsDissipative systemAuxeticsSquare (algebra)PhysicsComputer scienceClassical mechanicsMathematicsGeometryQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract: Auxetics are structures with negative Poisson’s ratio which exhibit superior properties such as high energy absorption, shear resistance and fracture toughness. While auxetics are widespread in the aerospace and biomedical sectors, their civil engineering applications have been neglected. Herein, the energy absorption performance of rotating square auxetics was investigated in building applications. Three novel bio-inspired designs that have recently been proposed in the literature were studied for this purpose. It was found that the bio-pattern with a fine-tuned perforation size can significantly enhance the specific energy absorption of the auxetic structures by approximately 10 times. This behavior is a consequence of geometrical manipulation that alleviates stress concentration and develops larger highstress areas in the material. The results were also compared to a flat sheet representing a standard tensile member. The findings point to promising applications of the bio-inspired auxetics as energy dissipator elements in building applications.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score0.341

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 head0.019
GPT teacher head0.264
Teacher spread0.245 · 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 designBench or experimental
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Materials and MechanicsFrench-language works237,207