An Analytical Modeling Framework for Martian Soil—Sampling Scoop Interaction with Numerical Validation
Accurate prediction of excavation forces is critical for the design reliability and operational safety of Mars surface sampling systems. This study establishes an analytical modeling framework to describe the excavation mechanics of Martian soil, focusing on the formation mechanism and evolution of resistance. Soil deformation and failure processes are qualitatively identified using particle image velocimetry (PIV) and discrete element method (DEM) simulations. Based on limit equilibrium theory, the passive earth pressure is derived, and the scoop is divided into seven force-bearing regions for three-dimensional force decomposition. The analytical model is validated against multibody dynamics–discrete element method (MBD–DEM) co-simulation. The results indicate that excavation resistance exhibits a distinct single-peak evolution, maximizing near the maximum excavation depth. Notably, the inner bottom surface and cutting edge dominate resistance during penetration, contributing approximately 56% and 30% of the total force, respectively. The resistance mechanism transitions after soil emergence due to the gravitational effect of retained soil. Consequently, this framework provides a physically interpretable and quantitatively validated approach for force prediction, offering theoretical support for sampling scoop design and optimization in future Mars missions.
Authors
- Dong Pan (ORCID: https://orcid.org/0000-0003-1419-0901)
- Hui Xie (ORCID: https://orcid.org/0000-0002-7296-3573)
- Yue Qi (ORCID: https://orcid.org/0000-0001-7670-8599)
- Yan Shen
- Lutz Richter
- Hongtao Cao
- Meng Zou
Institutions
- Jilin University (CN)
- China Academy of Space Technology (CN)
- Terra Nova Learning Systems (United States) (US)
Publication Details
- Journal
- Aerospace
- Published
- 2026-03-03
- DOI
- https://doi.org/10.3390/aerospace13030237
- Primary Topic
- Soil Mechanics and Vehicle Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China