> For the complete documentation index, see [llms.txt](https://2023.istvs.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://2023.istvs.org/submissions/papers/2177.md). # 2177 / Effects of road wheel load, driving speed and track slip upon stress state in sandy... Paper presented at the 16th European-African Regional Conference of the ISTVS Title: Effects of road wheel load, driving speed and track slip upon stress state in sandy soil under tracked vehicle loading Authors: Michał Kuszneruk, Paweł Tomiło, Jarosław Pytka, Dawid Tatarynow, and Rafał Longwic Abstract: This study analyses experimental data of stress state under loads of running tracked vehicles in sandy soil measured with the SST (Stress State Transducer) in field experiments. Based on measured soil pressures, soil stresses in the orthogonal and octahedral planes were determined at the depth of 20 cm beneath the test vehicles’ right track. Three different tracked vehicles of masses—44.3, 12.13, and 9.7 Mg—were used in the experiment. Effects of road wheel loads distribution, driving velocity, and track slip on soil stress state were determined and analyzed. The field experiment were compared with analytical predictions based on Boussinesq theory as well as the Mean Maximum Pressure (MMP) and Nominal Ground Pressure (NGP) models. A model of an artificial neural network was developed, which allowed the detection of the moment when the road wheel of the tracked vehicle is above the stress state transducer (SST) sensor. It was concluded that the vehicle maneuver or drive mode (rolling, driving, velocity) affected soil stress state significantly. This is because of a varying wheel load vector during different drive modes. Finally, use of a flat value of wheel load in modelling and simulations of soil stress distribution may lead to erroneous results, without taking into account the wheel mode effect. 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://2023.istvs.org/submissions/papers/2177.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.