Research on three-dimensional loading optimization of assembled wallboard components in Antarctic Qinling Station

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Research on three-dimensional loading optimization of assembled wallboard components in Antarctic Qinling Station | 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 Research on three-dimensional loading optimization of assembled wallboard components in Antarctic Qinling Station WANG layin, ZHANG meng This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6443045/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 As the fifth Antarctic scientific research station in China, Qinling station is composed of multiple prefabricated components and functional modules. These components are transported to the Antaror assemctic fbly through land and sea two-stage transportation. In the process, due to the unreasonable packing scheme of the assembled wallboard components, the overall construction cost of the new station is increased. Therefore, based on the two-stage transportation process of the special shaped wallboard components of the Antarctic Qinling Station, this paper focuses on the container loading problem of the wallboard components. Firstly, established a three-dimensional loading model for the new station wallboard components with the goal of maximizing the comprehensive utilization rate of the container. Then, designed a three-space optimization method according to its actual packing situation, and the model is solved by hybrid genetic simulated annealing algorithm. Finally, obtained the better loading scheme through Matlab software calculation. The results show that the optimization can significantly improve the comprehensive utilization rate of containers, thereby reducing the overall transportation cost of components. In order to provide reference value for the optimization of the transportation scheme of the subsequent prefabricated components of the new station and the related research of other polar projects. Antarctic Qinling station Prefabricated wallboard components Three-dimensional container loading optimization optimization model Full Text Additional Declarations No competing interests reported. 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-6443045","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":471473513,"identity":"01bc0691-4c6a-4e68-8e51-47a6bdac72ad","order_by":0,"name":"WANG layin","email":"","orcid":"","institution":"Xi’an University of Architecture and Technology","correspondingAuthor":false,"prefix":"","firstName":"WANG","middleName":"","lastName":"layin","suffix":""},{"id":471473514,"identity":"54482bfd-e65b-4cf2-a115-8fd2c89840a8","order_by":1,"name":"ZHANG meng","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA50lEQVRIiWNgGAWjYDAC9uaDDz5U2PDYtwMZCRU1RGjhOZZsOONMmpwBkGHw4MwxIrRI5JhJc7YdMjYAMiQftjAT1qHbkGMgzdh2IHE7Q1paRWIDGwN/e3cCXi1mB44VGBecu5O4s+HwsRuJO2QYJM6c3YBfy8HmDckzyp4lNhxsS7uReIaNwUAil4CWwwwGh3nYDic2HOYxK0hsYyZCyzEWw2aetsPGBsd4zBiI03KGLZkRFMiSPWzJEglnjvEQ9sv9x8d/gKKSX/7xwY8/Kmrk+Nt78WvBADykKR8Fo2AUjIJRgBUAAKSDVUC2lh5iAAAAAElFTkSuQmCC","orcid":"","institution":"Xi’an University of Architecture and Technology","correspondingAuthor":true,"prefix":"","firstName":"ZHANG","middleName":"","lastName":"meng","suffix":""}],"badges":[],"createdAt":"2025-04-14 06:38:30","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6443045/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6443045/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":89486560,"identity":"70dec449-604f-4dba-8187-577e84041a16","added_by":"auto","created_at":"2025-08-20 12:54:26","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":726290,"visible":true,"origin":"","legend":"","description":"","filename":"manuscripts.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6443045/v1_covered_0e330ee4-e001-4983-96d2-3818b0cbb8c4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on three-dimensional loading optimization of assembled wallboard components in Antarctic Qinling Station","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":"Antarctic Qinling station, Prefabricated wallboard components, Three-dimensional container loading optimization, optimization model","lastPublishedDoi":"10.21203/rs.3.rs-6443045/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6443045/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAs the fifth Antarctic scientific research station in China, Qinling station is composed of multiple prefabricated components and functional modules. 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