3D SPH modeling of coal granular flow: Implementation and Scenario Validation

3D SPH modeling of coal granular flow: Implementation and Scenario Validation | 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 Research Article 3D SPH modeling of coal granular flow: Implementation and Scenario Validation Ying Tian, Bo Liu, Qiang Zhang, Xiangwei Dong, Wei Liu, Yang Wang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6510054/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study applies the Smoothed Particle Hydrodynamics (SPH) method, a mesh-less Lagrangian numerical simulation technique, to model and simulate the three-dimensional (3D) flow of coal particles during the coal mining process for the first time. The research focuses on the continuous and plastic flow behaviors of coal particles during the top coal caving and scraper transportation processes. The study introduces the fundamental principles and numerical implementation of the SPH method, including model initialization, differential operators, smoothing length selection, and solution algorithms. A 3D model for coal particle flow is constructed based on the elastoplastic soil constitutive model, along with a corresponding SPH solution process. A composite contact algorithm is proposed to simulate the interaction between the scraper and coal flow, ensuring coal particles do not penetrate solid boundaries. The model simulates coal drawing and transportation processes under different working conditions, providing distributions of key parameters such as velocity, stress, and plastic strain. Sensitivity analysis of SPH parameters is conducted, discussing the effects of smoothing lengths, particle spacing, and differential operators on numerical accuracy and computational efficiency. Results demonstrate that the SPH method accurately captures discontinuities and large deformations in coal particle flow, showing good consistency with experimental data. The non-cohesive soil constitutive model effectively simulates granular material flow, avoiding parameter uncertainty associated with traditional Discrete Element Method (DEM) models by setting material parameters like friction angle and elastic modulus. Additionally, the study analyzes the effects of parameters such as conveyor belt speed, coal pile height, friction angle, and density on coal flow behaviors, providing an effective numerical tool for optimizing coal mining and transportation systems. SPH 3D Model Scraper Transportation Elastoplastic Constitutive Relations Coal Particle Flow Full Text Additional Declarations No competing interests reported. Supplementary Files COALDRAWINGANDTRANSPORTATION.mp4 PARTICLEcollapse.avi Cite Share Download PDF Status: Posted Version 1 posted 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-6510054","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":460244833,"identity":"5384291a-ab92-46b7-b4e4-039a405d415b","order_by":0,"name":"Ying Tian","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Ying","middleName":"","lastName":"Tian","suffix":""},{"id":460244834,"identity":"5a1567ec-3cda-420d-b13c-e08c98ad9923","order_by":1,"name":"Bo Liu","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Bo","middleName":"","lastName":"Liu","suffix":""},{"id":460244836,"identity":"650a8692-8766-46b5-bab0-abb619b6c1ec","order_by":2,"name":"Qiang Zhang","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Qiang","middleName":"","lastName":"Zhang","suffix":""},{"id":460244837,"identity":"dc08f5cd-e496-498d-bbcf-660a37ee1843","order_by":3,"name":"Xiangwei Dong","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyklEQVRIiWNgGAWjYDCCA2BSwo6fvbHx4QcStFgkS/YcbjaWIEFLBeOGG+ltAjzE6OA73nv4NW+bBLPBzYdtDBIMdnK6DQS0SJ45l2Y5s02CT/J2YtuDAoZkY7MDBLQY3MgxM/i4TYKZ73Ziu4EEw4HEbURpSdwmwdhw82CbBA+RWowfAG1hnHCDkUgtkmfOmDHO/CcBDOREYCAbEOEXvuM9xp95ztQBo/L4w4cfKuzkCGoBAjakCDQgrBwEmIlLJqNgFIyCUTByAQCdf0bZ86eWtgAAAABJRU5ErkJggg==","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Xiangwei","middleName":"","lastName":"Dong","suffix":""},{"id":460244838,"identity":"de6215bf-3dee-4cc9-ada9-ebfd24fca0a7","order_by":4,"name":"Wei Liu","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Wei","middleName":"","lastName":"Liu","suffix":""},{"id":460244839,"identity":"18afff19-260c-4d05-a4d6-ea0ff926face","order_by":5,"name":"Yang Wang","email":"","orcid":"","institution":"Shandong University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Yang","middleName":"","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2025-04-23 07:38:31","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6510054/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6510054/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":84333870,"identity":"2ae523b9-e038-4ee3-8d4a-e7d6b795f87d","added_by":"auto","created_at":"2025-06-10 16:38:41","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3094910,"visible":true,"origin":"","legend":"","description":"","filename":"ManuscriptEnglish21.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6510054/v1_covered_f8470229-4d32-4757-b5d4-abb23b43ea63.pdf"},{"id":83329920,"identity":"407b743d-b6a4-4e2e-8fd3-e5d2dfbc4cf0","added_by":"auto","created_at":"2025-05-23 07:30:55","extension":"mp4","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":3342636,"visible":true,"origin":"","legend":"","description":"","filename":"COALDRAWINGANDTRANSPORTATION.mp4","url":"https://assets-eu.researchsquare.com/files/rs-6510054/v1/07e51e75201d7a83e141410c.mp4"},{"id":83330710,"identity":"e0e9a641-3e77-4e48-adf4-8b23cfd91b1a","added_by":"auto","created_at":"2025-05-23 07:38:55","extension":"avi","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":6716928,"visible":true,"origin":"","legend":"","description":"","filename":"PARTICLEcollapse.avi","url":"https://assets-eu.researchsquare.com/files/rs-6510054/v1/b4457d8de7ae257fcdd93454.avi"}],"financialInterests":"No competing interests reported.","formattedTitle":"3D SPH modeling of coal granular flow: Implementation and Scenario Validation","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"SPH, 3D Model, Scraper Transportation, Elastoplastic Constitutive Relations, Coal Particle Flow","lastPublishedDoi":"10.21203/rs.3.rs-6510054/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6510054/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study applies the Smoothed Particle Hydrodynamics (SPH) method, a mesh-less Lagrangian numerical simulation technique, to model and simulate the three-dimensional (3D) flow of coal particles during the coal mining process for the first time. The research focuses on the continuous and plastic flow behaviors of coal particles during the top coal caving and scraper transportation processes. The study introduces the fundamental principles and numerical implementation of the SPH method, including model initialization, differential operators, smoothing length selection, and solution algorithms. A 3D model for coal particle flow is constructed based on the elastoplastic soil constitutive model, along with a corresponding SPH solution process. A composite contact algorithm is proposed to simulate the interaction between the scraper and coal flow, ensuring coal particles do not penetrate solid boundaries. The model simulates coal drawing and transportation processes under different working conditions, providing distributions of key parameters such as velocity, stress, and plastic strain. Sensitivity analysis of SPH parameters is conducted, discussing the effects of smoothing lengths, particle spacing, and differential operators on numerical accuracy and computational efficiency. Results demonstrate that the SPH method accurately captures discontinuities and large deformations in coal particle flow, showing good consistency with experimental data. The non-cohesive soil constitutive model effectively simulates granular material flow, avoiding parameter uncertainty associated with traditional Discrete Element Method (DEM) models by setting material parameters like friction angle and elastic modulus. Additionally, the study analyzes the effects of parameters such as conveyor belt speed, coal pile height, friction angle, and density on coal flow behaviors, providing an effective numerical tool for optimizing coal mining and transportation systems.\u003c/p\u003e","manuscriptTitle":"3D SPH modeling of coal granular flow: Implementation and Scenario Validation","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-23 07:30:50","doi":"10.21203/rs.3.rs-6510054/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"9cb561a7-00df-4fcb-8aec-892ba07ea192","owner":[],"postedDate":"May 23rd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-06-10T16:38:14+00:00","versionOfRecord":[],"versionCreatedAt":"2025-05-23 07:30:50","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6510054","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6510054","identity":"rs-6510054","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}