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Record W4405230907 · doi:10.1061/9780784485736.076

Topological Interlocking Bricks for Habitat Construction in Extraterrestrial Environments

2024· article· en· W4405230907 on OpenAlexaff
Parisa Haji Abdulrazagh, Alexander M. Jablonski, Pooneh Maghoul

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicModular Robots and Swarm Intelligence
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsExtraterrestrial lifeInterlockingAstrobiologyHabitatComputer scienceTopology (electrical circuits)GeologyEngineeringEcologyPhysicsElectrical engineeringStructural engineering

Abstract

fetched live from OpenAlex

As NASA and other space agencies prepare for a sustained return of humans to the Moon, one key focus area pertains to the challenges of constructing resilient habitats in space. Traditional approaches suggest using robots for single-pass 3D printing of entire habitats, yet this method is constrained by the size limitations of the robots themselves. In this paper, we propose an adaptable and modular approach for human habitat construction based on topological interlocking bricks. These 3D-printed structural elements are designed with specially shaped elements that lock together in such a way to offer enhanced resilience and modularity compared to conventional methods. However, the development of extraterrestrial structures requires a consideration of the extreme environmental conditions, the use of in situ resources and on situ fabrication capabilities. We conducted a review of environmental conditions on the Moon to provide useful information regarding structural requirements, available materials, and fabrication methods. We presented various topological interlocking systems and evaluated different assemblies under lunar gravity to recommend an ideal solution for different types of lunar structures.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.813
Threshold uncertainty score0.245

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 head0.021
GPT teacher head0.249
Teacher spread0.227 · 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 designSimulation or modeling
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
Published2024
Admission routes1
Has abstractyes

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