Synapse
⌘+K
Synapse
PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
April 1, 2026Applied SciencesOpen Access

Prediction of Shear Strength for Lunar Subsurface Regolith with Varying Particle Size Distributions and Relative Densities

View Full Paper
Ask AI
Bookmark
Share

Authors

JCJun ChenRLRuilin LiPMPin‐Qiang Mo

Discussion

Loading...

Member takes

Overview

Experimental analysis predicts shear strength in lunar regolith, highlighting implications for mining operations.

Key Points

  • The research aims to improve predictions of shear strength in lunar regolith by considering particle size and density variations.
  • Conducted consolidated drained triaxial tests on CUMT-1 lunar regolith simulants.
  • Analyzed the effects of confining pressure, relative density, and particle size distribution.
  • Introduced the inter-particle void ratio to assess combined effects on shear strength.
  • Developed a new empirical model for peak shear strength predictions.
  • Lunar regolith's shear strength decreases more than previously estimated with increased depth.
  • Higher inter-particle void ratios contribute to lower shear strength.
  • Geostatic stress significantly affects shear strength predictions.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/69ccb62016edfba7beb87d9dhttps://doi.org/10.3390/app16073327
View Full Paper
Ask AI
Bookmark
Share