> For the complete documentation index, see [llms.txt](https://2022.istvs.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://2022.istvs.org/papers/1655.md). # 1655 / Modeling of Lunar Rover Vehicle Wheel-Soil Interaction Using Fem-Dem Method Title: Modeling of Lunar Rover Vehicle Wheel-Soil Interaction Using Fem-Dem Method Authors: Kaidi Zhang, Yunqing Zhang, Junwei Shi, and Weili Kong Abstract: Apollo Lunar Rover Vehicle (LRV) used wire mesh wheels to adapt to the loose and soft soil conditions on the lunar surface, aimed to meet the mobility performance of LRV on the moon. Therefore, it is of great significance to study the wheel-soil interaction characteristics of the wire mesh wheel to improve the maneuverability and traction performance of LRVs. This paper proposed a coupled analysis method of wire mesh wheel-soil based on the DEM-FEM method. Firstly, a lunar terrain DEM model was established, which conforming to the physical characteristics of the lunar soil. Then, a FEM model of the flexible wire mesh wheel with large deformation characteristics was developed, which was verified by stiffness tests. In addition, the mobility performance of the wheel model developed were studied under different slip rates and sideslip angles, respectively. The simulation results were compared and validated with NASA experiment data. The results can provide technical support for the coupling simulation of wire mesh wheels and the traction characteristics of LRV. Order the full paper: ISTVS members: receive three papers per year as part of your membership via the ISTVS Member Portal: --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://2022.istvs.org/papers/1655.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.