Calibration of Soil Contact Parameters for Planting Sand Shrubs in the Desert Regions of Inner Mongolia

Calibration of Soil Contact Parameters for Planting Sand Shrubs in the Desert Regions of Inner Mongolia | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Calibration of Soil Contact Parameters for Planting Sand Shrubs in the Desert Regions of Inner Mongolia Nannan Zhang, Chenghui Pei, Yantang Zhang, Shaoyu Cui, Lingzhi Liang, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5283536/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 18 May, 2025 Read the published version in Scientific Reports → Version 1 posted 11 You are reading this latest preprint version Abstract This study addresses the need for an accurate and reliable discrete element model to understand the interaction between soil particles and planting mechanisms during the operation of watering drilling machines used for cultivating xerophytic shrubs in the desert regions of Inner Mongolia. Focusing on soil from the northwestern desert of Inner Mongolia, we calibrated the parameters pertinent to desert soil. Through Plackett-Burman experiments, we identified key factors that significantly affect the angle of repose. The range of these significant factors was further refined using steepest ascent experiments. Subsequently, a Box-Behnken experiment was conducted to establish a regression model for these significant factors, aiming to identify the optimal combination. We validated this optimal combination through a blend of simulation and physical experiments. The results reveal that the optimal combination of significant factors, determined from the angle of repose as the response variable, includes a static friction coefficient of soil-soil at 0.442, a rolling friction coefficient of soil-soil at 0.140, and a static friction coefficient of soil-steel at 0.305. By using the opening diameter and effective depth of the drilling machine as measurement benchmarks, the relative errors for the simulation and physical experiments were recorded at 2.9 % and 0.3 %, respectively. These findings affirm the accuracy and reliability of the measured parameters, thereby providing a theoretical foundation for understanding the interaction mechanisms between desert planting machinery and soil. Earth and environmental sciences/Ecology/Agri ecology Earth and environmental sciences/Ecology/Forestry Physical sciences/Engineering/Civil engineering Sandy Soil Parameter Calibration Angle of Repose Discrete Element Method Simulation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 18 May, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 18 Feb, 2025 Reviews received at journal 07 Feb, 2025 Reviews received at journal 29 Jan, 2025 Reviewers agreed at journal 23 Jan, 2025 Reviewers agreed at journal 23 Jan, 2025 Reviewers agreed at journal 16 Jan, 2025 Reviewers invited by journal 10 Nov, 2024 Editor assigned by journal 10 Nov, 2024 Editor invited by journal 07 Nov, 2024 Submission checks completed at journal 04 Nov, 2024 First submitted to journal 17 Oct, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5283536","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":372196798,"identity":"08ac0c7d-b197-4ebd-95e1-9d6d1027fc1e","order_by":0,"name":"Nannan Zhang","email":"","orcid":"","institution":"Inner Mongolia University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Nannan","middleName":"","lastName":"Zhang","suffix":""},{"id":372196799,"identity":"f915f7b3-3679-44a9-9800-024be35be0e6","order_by":1,"name":"Chenghui 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Parameter Calibration, Angle of Repose, Discrete Element Method, Simulation","lastPublishedDoi":"10.21203/rs.3.rs-5283536/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5283536/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This study addresses the need for an accurate and reliable discrete element model to understand the interaction between soil particles and planting mechanisms during the operation of watering drilling machines used for cultivating xerophytic shrubs in the desert regions of Inner Mongolia. Focusing on soil from the northwestern desert of Inner Mongolia, we calibrated the parameters pertinent to desert soil. Through Plackett-Burman experiments, we identified key factors that significantly affect the angle of repose. The range of these significant factors was further refined using steepest ascent experiments. Subsequently, a Box-Behnken experiment was conducted to establish a regression model for these significant factors, aiming to identify the optimal combination. We validated this optimal combination through a blend of simulation and physical experiments. The results reveal that the optimal combination of significant factors, determined from the angle of repose as the response variable, includes a static friction coefficient of soil-soil at 0.442, a rolling friction coefficient of soil-soil at 0.140, and a static friction coefficient of soil-steel at 0.305. 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