Assessment of the Geomechanical Properties of Lunar Simulant Soils
Bibliographic record
Abstract
Renewed recent interest in exploration of the Moon has spawned several planned missions by a range of space agencies, including the U.S., Russia, China, Japan, the EU, and Canada. The development of unmanned rover space missions that can successfully explore the lunar surface requires suitable regolith simulants that accurately represent the soils that exist on the Moon’s surface, to enable scientific studies to be performed in terrestrial laboratories. A number of state-of-the-art simulants are now available for this purpose (e.g., CAS-1, JSC-1, OB-1, EAC-1, FJS-1, etc.), which have been matched to different applications on the basis of composition, specific gravity, particle size and shape, and other aspects. Early simulants utilized finely crushed or sorted granular basalts with slight surface weathering, but newer variants have employed more sophisticated compositions to better reproduce the surface chemistry and electrostatic behavior. What is currently absent from the literature are rigorous studies of the geomechanical properties of many of these materials. The main objective of this work was to provide high-quality data to better characterize the geomechanical performance of different simulants in states similar to those on the Moon. The results of basic characterization and mechanical property tests indicate that the simulants have similar mechanical responses to angular and rough soils found elsewhere in the geotechnical testing literature and have similar behaviour compared to the two well-known geotechnical benchmark soils.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".