> 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/9352.md). # 9352 / 3D-DEM Simulation and Post-Process Method of Wheel-Terrain Interaction for Planetary Rovers https\:/doi.org/10.56884/WWUX2021 Title: 3D-DEM Simulation and Post-Process Method of Wheel-Terrain Interaction for Planetary Rovers Authors: Qingning Lan, Zhengyin Wang, Huaiguang Yang, Liang Ding, and Haibo Gao Abstract: Understanding the physical essence of wheel-terrain interaction is critical to establish the terramechanics model. The discrete element method (DEM) can be used to simulate a series of wheel-terrain interaction quickly and efficiently, which can be convenient to analyze the physical information of the interaction. This paper simulates the interaction of slipping wheel running on soil simulant using 3D-DEM. The information of particles and wheel is obtained from the wheel-terrain interaction. The consequent velocity and stress field of soil simulant is obtained by smoothening the velocity of discrete soil particles and contact interaction force between particles. A method to calculate the fraction field of soil simulant in the particle bed with boundary is proposed to obtain the consequent fraction field distribution. The simulation results are consistent with experimental results. This study can provide instructions for the establishment of physical terramechanics model. 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/9352.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.